LungNoduleSegmentation / Git / Diff of /README.md

Datasets:

GeorgeSullivan/

LungNoduleSegmentation

Downloads: 2

Data:

Image Specialty:

Oncology

Radiology Medical Imaging Technique:

High-Resolution CT Medical Imaging Region:

Chest

Lungs Clinical Purpose:

Diagnosis Task:

Detection

Segmentation License:

Unknown

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# Lung Nodule Segmentation Dataset

![Lung Nodule Segmentation](https://huggingface.co/datasets/basilshaji/Lung_Nodule_Segmentation/blob/main/header_image.png?raw=true)

## Introduction

Welcome to the Lung Nodule Segmentation Dataset repository! This project aims to provide a comprehensive dataset for researchers and developers to build and evaluate machine learning models for lung nodule segmentation. Accurate detection and segmentation of lung nodules are crucial steps in the early diagnosis and treatment of lung cancer.

## Dataset Overview

The dataset consists of high-resolution CT scans with expertly annotated lung nodules. Each scan is provided with corresponding segmentation masks to facilitate the training and evaluation of segmentation models.

### Features

- **High-Resolution CT Scans:** Detailed CT images of the lungs.
- **Expert Annotations:** Accurate segmentation masks created by medical experts.
- **Diverse Samples:** A variety of lung nodules with different sizes and shapes.

### Dataset Description

The dataset includes images and masks of lung CT scans, annotated by medical professionals. The annotations highlight regions of interest for lung nodule detection, providing a valuable resource for training machine learning models.

**Data Statistics**

- Number of Images to train : 239
- Number of Masks: 239
- Number of Images to train : 41
- Number of Masks: 41
- Image Resolution: 416x416 pixels
- File Format: PNG

	a/README.md		b/README.md
1	# Lung Nodule Segmentation Dataset	1	# Lung Nodule Segmentation Dataset
2		2
3	![Lung Nodule Segmentation](header_image.png)	3	![Lung Nodule Segmentation](https://huggingface.co/datasets/basilshaji/Lung_Nodule_Segmentation/blob/main/header_image.png?raw=true)
4		4
5	## Introduction	5	## Introduction
6		6
7	Welcome to the Lung Nodule Segmentation Dataset repository! This project aims to provide a comprehensive dataset for researchers and developers to build and evaluate machine learning models for lung nodule segmentation. Accurate detection and segmentation of lung nodules are crucial steps in the early diagnosis and treatment of lung cancer.	7	Welcome to the Lung Nodule Segmentation Dataset repository! This project aims to provide a comprehensive dataset for researchers and developers to build and evaluate machine learning models for lung nodule segmentation. Accurate detection and segmentation of lung nodules are crucial steps in the early diagnosis and treatment of lung cancer.
8		8
9	## Dataset Overview	9	## Dataset Overview
10		10
11	The dataset consists of high-resolution CT scans with expertly annotated lung nodules. Each scan is provided with corresponding segmentation masks to facilitate the training and evaluation of segmentation models.	11	The dataset consists of high-resolution CT scans with expertly annotated lung nodules. Each scan is provided with corresponding segmentation masks to facilitate the training and evaluation of segmentation models.
12		12
13	### Features	13	### Features
14		14
15	- High-Resolution CT Scans: Detailed CT images of the lungs.	15	- High-Resolution CT Scans: Detailed CT images of the lungs.
16	- Expert Annotations: Accurate segmentation masks created by medical experts.	16	- Expert Annotations: Accurate segmentation masks created by medical experts.
17	- Diverse Samples: A variety of lung nodules with different sizes and shapes.	17	- Diverse Samples: A variety of lung nodules with different sizes and shapes.
18		18
19	### Dataset Description	19	### Dataset Description
20		20
21	The dataset includes images and masks of lung CT scans, annotated by medical professionals. The annotations highlight regions of interest for lung nodule detection, providing a valuable resource for training machine learning models.	21	The dataset includes images and masks of lung CT scans, annotated by medical professionals. The annotations highlight regions of interest for lung nodule detection, providing a valuable resource for training machine learning models.
22		22
23	Data Statistics	23	Data Statistics
24		24
25	- Number of Images to train : 239	25	- Number of Images to train : 239
26	- Number of Masks: 239	26	- Number of Masks: 239
27	- Number of Images to train : 41	27	- Number of Images to train : 41
28	- Number of Masks: 41	28	- Number of Masks: 41
29	- Image Resolution: 416x416 pixels	29	- Image Resolution: 416x416 pixels
30	- File Format: PNG	30	- File Format: PNG