860 lines (860 with data), 384.9 kB

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "authorship_tag": "ABX9TyNp2r1JSE1GIGbMPURlYj6R",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/WaheedIyanda/Analysis-and-ML-prediction-of-ASD-base-on-Gut-Microbiom/blob/main/Breast%20Cancer%20Histopathology%20IDC%20classification.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "ToiyeAJhiBqY"
      },
      "outputs": [],
      "source": [
        "#importing my libraries\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "import torchvision\n",
        "from torchvision import transforms\n",
        "from torchvision import datasets\n",
        "from torch.utils.data import DataLoader, Dataset\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from PIL import Image\n",
        "import os\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import cv2"
      ],
      "metadata": {
        "id": "VTvUAeIchz93"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Download the dataset\n",
        "!kaggle datasets download -d alaminbhuyan/breast-histopathology-images"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ekGeYmTGlA2h",
        "outputId": "fb9be45a-991c-4997-e3bc-28e13ee9e838"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset URL: https://www.kaggle.com/datasets/alaminbhuyan/breast-histopathology-images\n",
            "License(s): unknown\n",
            "Downloading breast-histopathology-images.zip to /content\n",
            "100% 928M/929M [00:38<00:00, 24.7MB/s]\n",
            "100% 929M/929M [00:38<00:00, 25.4MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import zipfile\n",
        "# Define the path to the zip file and the extraction directory\n",
        "zip_file_path = 'breast-histopathology-images.zip'\n",
        "extraction_dir = 'breast-histopathology-images'\n",
        "\n",
        "# Create the extraction directory\n",
        "os.makedirs(extraction_dir, exist_ok=True)\n",
        "\n",
        "# Extract the zip file\n",
        "with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:\n",
        "    zip_ref.extractall(extraction_dir)\n",
        "\n",
        "# Verify the extraction\n",
        "extracted_files = os.listdir(extraction_dir)\n",
        "print(extracted_files)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YmT0epbgh86v",
        "outputId": "79c07197-b4f4-4b48-aeac-34c549b443a7"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['IDC_regular_ps50_idx5']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "IDC_Neg = \"/content/breast-histopathology-images/IDC_regular_ps50_idx5/negative_IDC\"\n",
        "IDC_pos = \"/content/breast-histopathology-images/IDC_regular_ps50_idx5/positive_IDC\""
      ],
      "metadata": {
        "id": "fgIls5kyh-QQ"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#### function to check number of images in each folder\n",
        "def count_images(directory):\n",
        "    return len([f for f in os.listdir(directory) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.gif'))])\n",
        "\n",
        "#####\n",
        "count_images(IDC_Neg)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_ec2ASqCiINh",
        "outputId": "4f431a94-25ee-42c7-a71b-4fd0aa16276d"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "78786"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "count_images(IDC_pos)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5rIrtkC8iM1p",
        "outputId": "65a8a646-ba10-456f-d0bb-39beebc05d59"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "78786"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "num_neg = len(os.listdir(IDC_Neg))\n",
        "num_pos = len(os.listdir(IDC_pos))\n",
        "\n",
        "##### data distribution\n",
        "categories = ['Negative IDC', 'Positive IDC']\n",
        "counts = [num_neg, num_pos]\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.bar(categories, counts, color=['blue', 'orange'])\n",
        "plt.title('image Distribution in IDC Categories')\n",
        "plt.ylabel('Number of Images')\n",
        "plt.xlabel('Categories')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "wrNKjuTMiO77",
        "outputId": "bd0ec91b-0a8a-4b46-f5bc-4c0b20cf641b"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#### image data inspection#\n",
        "import random\n",
        "selected_Neg = random.sample(os.listdir(IDC_Neg), 10)\n",
        "\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "for i, file in enumerate(selected_Neg):\n",
        "    img_path = os.path.join(IDC_Neg, file)\n",
        "    img = Image.open(img_path)\n",
        "    plt.subplot(2, 5, i + 1)\n",
        "    plt.imshow(img)\n",
        "    plt.axis('off')\n",
        "plt.suptitle(\"Random Sample of Negative IDC Images\", fontsize=16)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "id": "zAe5j73viU5a",
        "outputId": "47c6037d-6253-47b4-a052-14577f637298"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 10 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "selected_pos = random.sample(os.listdir(IDC_pos), 10)\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "for i, file in enumerate(selected_pos):\n",
        "  imgs_path = os.path.join(IDC_pos, file)\n",
        "  imgs= Image.open(imgs_path)\n",
        "  plt.subplot(2, 5, i + 1)\n",
        "  plt.imshow(imgs)\n",
        "  plt.axis('off')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "id": "zamSsCg1iXMf",
        "outputId": "aabf6588-fdcf-4adc-e846-8311c1263dee"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 10 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#####check dimension and color channel\n",
        "def check_image_properties(directory, sample_size=5):\n",
        "    files = os.listdir(directory)[:sample_size]\n",
        "    for file in files:\n",
        "        img_path = os.path.join(directory, file)\n",
        "        with Image.open(img_path) as img:\n",
        "            dimensions = img.size\n",
        "            color_mode = img.mode\n",
        "            channels = 1 if color_mode == 'L' else 3\n",
        "            print(f'{file}: Dimensions={dimensions}, Channels={channels}')\n",
        "\n",
        "# Confrim the dimension and color channel\n",
        "print(\"Negative IDC Image Properties:\")\n",
        "check_image_properties(IDC_Neg)\n",
        "\n",
        "print(\"\\nPositive IDC Image Properties:\")\n",
        "check_image_properties(IDC_pos)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_62PTeCiiYci",
        "outputId": "22044091-90ab-49b9-a037-bd27f50b268b"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Negative IDC Image Properties:\n",
            "10273_idx5_x1001_y1901_class0.png: Dimensions=(50, 50), Channels=3\n",
            "12823_idx5_x951_y2151_class0.png: Dimensions=(50, 50), Channels=3\n",
            "12883_idx5_x2251_y201_class0.png: Dimensions=(50, 50), Channels=3\n",
            "10259_idx5_x1651_y601_class0.png: Dimensions=(50, 50), Channels=3\n",
            "12906_idx5_x1551_y2451_class0.png: Dimensions=(50, 50), Channels=3\n",
            "\n",
            "Positive IDC Image Properties:\n",
            "9077_idx5_x2201_y1351_class1.png: Dimensions=(50, 50), Channels=3\n",
            "10276_idx5_x551_y301_class1.png: Dimensions=(50, 50), Channels=3\n",
            "9077_idx5_x1151_y851_class1.png: Dimensions=(50, 50), Channels=3\n",
            "9077_idx5_x401_y1451_class1.png: Dimensions=(50, 50), Channels=3\n",
            "10303_idx5_x1301_y1351_class1.png: Dimensions=(50, 50), Channels=3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "####spliting my data to Testing and Training data\n",
        "from sklearn.model_selection import train_test_split\n"
      ],
      "metadata": {
        "id": "rVTBxIoTidY3"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "neg_files = [os.path.join(IDC_Neg, f) for f in os.listdir(IDC_Neg)]\n",
        "pos_files = [os.path.join(IDC_pos, f) for f in os.listdir(IDC_pos)]"
      ],
      "metadata": {
        "id": "kESeB9ilieYj"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "####labeling\n",
        "neg_labels = [0] * len(neg_files)\n",
        "pos_labels = [1] * len(pos_files)"
      ],
      "metadata": {
        "id": "LIsaeVxiihlC"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "all_files = neg_files + pos_files   ####this is our feature X\n",
        "all_labels = neg_labels + pos_labels #### this is our target y"
      ],
      "metadata": {
        "id": "VORJkqX6ik3n"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(all_files, all_labels, test_size=0.2, stratify=all_labels, random_state=42)"
      ],
      "metadata": {
        "id": "_BbhcYG3innc"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(X_train) ###### number of traininf sample"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YCvJwIR8ipZ7",
        "outputId": "3dde07d5-d6fc-4798-ca4e-0eeead88f104"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "126057"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W2zWuA97irHT",
        "outputId": "85e2d02d-4971-4bbd-890f-ad395f83e75a"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "126057"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "2fwLAhEWitfX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "N_6IT-RWiuQ-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "##### data processing\n",
        "transform = transforms.Compose([\n",
        "    transforms.Resize((128, 128)),\n",
        "    transforms.RandomHorizontalFlip(),\n",
        "    transforms.RandomVerticalFlip(),\n",
        "    transforms.RandomRotation(30),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))\n",
        "])"
      ],
      "metadata": {
        "id": "brlGNLUeiv98"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class HistoDataset(Dataset):\n",
        "    def __init__(self, file_paths, labels, transform=None):\n",
        "        self.file_paths = file_paths\n",
        "        self.labels = labels\n",
        "        self.transform = transform\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.file_paths)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        img_path = self.file_paths[idx]\n",
        "        image = Image.open(img_path).convert('RGB')\n",
        "        label = self.labels[idx]\n",
        "\n",
        "        if self.transform:\n",
        "            image = self.transform(image)\n",
        "\n",
        "        return image, label"
      ],
      "metadata": {
        "id": "-GYb5v6_iwut"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_dataset = HistoDataset(file_paths=X_train, labels=y_train, transform=transform)\n",
        "test_dataset = HistoDataset(file_paths=X_test, labels=y_test, transform=transform)\n",
        "\n",
        "####DataLoader\n",
        "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True, num_workers=4, pin_memory=True)\n",
        "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False,num_workers=4, pin_memory=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "20RSP8iti6wI",
        "outputId": "888c1887-325c-4333-a6e6-4081e8189fbd"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:558: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from torchvision import models"
      ],
      "metadata": {
        "id": "omfeU83Ei7dJ"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = models.resnet18(pretrained=True)\n",
        "num_classes = 2\n",
        "model.fc = nn.Linear(model.fc.in_features, num_classes)\n",
        "\n",
        "#####\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "optimizer = optim.Adam(model.parameters(), lr=0.001)\n",
        "#####\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "model.to(device)\n",
        "\n",
        "####"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5m5xnrk8jAiv",
        "outputId": "4520a121-5d38-4d38-cb3b-0672a1469789"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n",
            "  warnings.warn(msg)\n",
            "Downloading: \"https://download.pytorch.org/models/resnet18-f37072fd.pth\" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth\n",
            "100%|██████████| 44.7M/44.7M [00:00<00:00, 129MB/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ResNet(\n",
              "  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
              "  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "  (relu): ReLU(inplace=True)\n",
              "  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
              "  (layer1): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (layer2): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (downsample): Sequential(\n",
              "        (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "        (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      )\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (layer3): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (downsample): Sequential(\n",
              "        (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      )\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (layer4): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (downsample): Sequential(\n",
              "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      )\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
              "  (fc): Linear(in_features=512, out_features=2, bias=True)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def train_model(model, train_loader, criterion, optimizer, epochs=3):\n",
        "    model.train()\n",
        "    for epoch in range(epochs):\n",
        "        running_loss = 0.0\n",
        "        for images, labels in train_loader:\n",
        "            images, labels = images.to(device), labels.to(device)\n",
        "            optimizer.zero_grad()\n",
        "            outputs = model(images)\n",
        "            loss = criterion(outputs, labels)\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            running_loss += loss.item()\n",
        "\n",
        "        print(f\"Epoch [{epoch+1}/{epochs}], Loss: {running_loss/len(train_loader):.4f}\")\n",
        "\n",
        "# Train the model\n",
        "train_model(model, train_loader, criterion, optimizer)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "luBxF9S2jyhp",
        "outputId": "7c3ec53c-0421-4576-ec5b-aae37833669d"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch [1/3], Loss: 0.3291\n",
            "Epoch [2/3], Loss: 0.2859\n",
            "Epoch [3/3], Loss: 0.2656\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_accuracy = evaluate_model(model, test_loader)\n",
        "print(f'Test Accuracy: {test_accuracy:.2f}%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "41KmbIvfqtSE",
        "outputId": "afc07a3f-29fb-4a04-dc62-1ee427764d6d"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Accuracy: 89.95%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "U6DxLE_jurrI"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "def evaluate_model(model, test_loader):\n",
        "    model.eval()\n",
        "    all_preds = []\n",
        "    all_labels = []\n",
        "    with torch.no_grad():\n",
        "        for images, labels in test_loader:\n",
        "            images, labels = images.to(device), labels.to(device)\n",
        "            outputs = model(images)\n",
        "            _, preds = torch.max(outputs, 1)\n",
        "            all_preds.extend(preds.cpu().numpy())\n",
        "            all_labels.extend(labels.cpu().numpy())\n",
        "\n",
        "    return all_preds, all_labels\n",
        "\n",
        "# Get predictions and true labels\n",
        "preds, labels = evaluate_model(model, test_loader)\n",
        "\n",
        "# Compute confusion matrix\n",
        "conf_matrix = confusion_matrix(labels, preds)\n",
        "\n",
        "# Plot confusion matrix\n",
        "plt.figure(figsize=(10,8))\n",
        "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues')\n",
        "plt.xlabel('Predicted Labels')\n",
        "plt.ylabel('True Labels')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 773
        },
        "id": "oleMTDkNpxD4",
        "outputId": "581959bf-5461-4e86-e5a1-0acca2a7f0b4"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:558: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "torch.save(model.state_dict(), 'cancerHistopath.pth')\n",
        "print(\"Model saved as 'model_state_dict.pth'\")"
      ],
      "metadata": {
        "id": "PzSM15xqwuEu"
      },
      "execution_count": 40,
      "outputs": []
    }
  ]
}