<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Medical X-Ray Classifier</title>
<style>
/* General Styles */
body {
font-family: 'Arial', sans-serif;
background: linear-gradient(to right, #e3f2fd, #ffffff);
margin: 0;
padding: 0;
display: flex;
justify-content: center;
align-items: center;
min-height: 100vh;
}
.container {
width: 90%;
max-width: 1200px;
background: #fff;
border-radius: 12px;
box-shadow: 0 8px 20px rgba(0, 0, 0, 0.15);
display: flex;
overflow: hidden;
animation: fadeIn 1s ease-in-out;
}
@keyframes fadeIn {
from {
opacity: 0;
transform: translateY(20px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
.left-column {
width: 35%;
background: #f8f9fa;
padding: 20px;
border-right: 1px solid #ddd;
}
.right-column {
width: 65%;
padding: 20px;
display: flex;
flex-direction: column;
align-items: center;
}
h1 {
text-align: center;
font-size: 1.8rem;
margin-bottom: 20px;
color: #333;
}
input[type="file"] {
margin: 15px 0;
padding: 10px;
border: 1px solid #ddd;
border-radius: 6px;
cursor: pointer;
width: 100%;
}
button {
padding: 12px 30px;
background: #007bff;
color: #fff;
border: none;
border-radius: 6px;
font-size: 14px;
cursor: pointer;
transition: background 0.3s ease;
margin: 10px 0;
}
button:hover {
background: #0056b3;
}
.progress-bar {
width: 100%;
height: 10px;
background: #e9ecef;
border-radius: 5px;
margin: 15px 0;
overflow: hidden;
position: relative;
}
.progress-bar .progress {
height: 100%;
background: #28a745;
width: 0;
transition: width 0.5s;
}
.fixed-box {
margin-top: 20px;
text-align: center;
border: 1px solid #ddd;
border-radius: 10px;
padding: 10px;
background: #fff;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.fixed-box img {
max-width: 100%;
border-radius: 8px;
}
.results {
font-size: 1rem;
margin-bottom: 20px;
text-align: center;
display: none;
}
.results.visible {
display: block;
}
.note {
font-size: 1rem;
color: #d9534f;
text-align: center;
margin-top: 20px;
}
.visualization-group {
margin-top: 20px;
width: 100%;
display: none;
}
.visualization-group.visible {
display: block;
}
.visualization-group h3 {
font-size: 1.2rem;
margin-bottom: 10px;
text-align: center;
}
.visualization {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 15px;
justify-items: center;
}
.visualization img {
max-width: 100%;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
transition: transform 0.2s ease;
}
.visualization img:hover {
transform: scale(1.05);
}
.image-name {
text-align: center;
font-size: 0.9rem;
margin-top: 5px;
color: #555;
}
/* Prediction Result Box */
.prediction-box {
padding: 20px;
background-color: #f8f9fa;
border-radius: 8px;
border: 1px solid #ddd;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
margin-top: 20px;
text-align: center;
}
.prediction-box p {
font-size: 1.2rem;
margin: 5px 0;
}
.prediction-box .class {
font-weight: bold;
font-size: 1.5rem;
color: #007bff;
}
.prediction-box .confidence {
font-size: 1.1rem;
color: #28a745;
}
</style>
</head>
<body>
<div class="container">
<!-- Left Column -->
<div class="left-column">
<h1>Upload X-Ray</h1>
<form id="upload-form">
<input type="file" id="file-input" name="file" accept="image/*" required>
<button type="submit">Predict</button>
<button id="refresh-button">Refresh</button>
<div class="progress-bar">
<div class="progress" id="progress-bar"></div>
</div>
</form>
<div class="fixed-box">
<h3>Uploaded Image</h3>
<img id="original" src="https://via.placeholder.com/150?text=Upload+Image" alt="Uploaded Image">
<div class="image-name" id="image-name">Image Name</div>
</div>
</div>
<!-- Right Column -->
<div class="right-column">
<div class="prediction-box" id="result-box">
<p><strong>Predicted Class:</strong> <span id="predicted-class">N/A</span></p>
<p><strong>Confidence Score:</strong> <span id="confidence-score">N/A</span></p>
</div>
<div id="note" class="note" style="display: none;">
Sorry, you uploaded a non chest X-ray image. Please upload a chest X-ray image. Thank you!
</div>
<div class="visualization-group" id="visualization-group">
<h3>Image Visualizations</h3>
<div class="visualization">
<div>
<img id="grayscale" src="https://via.placeholder.com/150?text=Grayscale" alt="Grayscale Image">
<div class="image-name">Grayscale</div>
</div>
<div>
<img id="equalized" src="https://via.placeholder.com/150?text=Equalized" alt="Equalized Image">
<div class="image-name">Equalized</div>
</div>
<div>
<img id="edges" src="https://via.placeholder.com/150?text=Edges" alt="Edge Detection">
<div class="image-name">Edges</div>
</div>
<div>
<img id="segmented" src="https://via.placeholder.com/150?text=Segmented" alt="Segmented Image">
<div class="image-name">Segmented</div>
</div>
</div>
<h3>Advanced Visualizations</h3>
<div class="visualization">
<div>
<img id="grad_cam" src="https://via.placeholder.com/150?text=Grad-CAM" alt="Grad-CAM Visualization">
<div class="image-name">Grad-CAM</div>
</div>
<div>
<img id="roi" src="https://via.placeholder.com/150?text=ROI" alt="Region of Interest">
<div class="image-name">ROI</div>
</div>
</div>
</div>
</div>
</div>
<script>
const form = document.getElementById('upload-form');
const progressBar = document.getElementById('progress-bar');
const resultBox = document.getElementById('result-box');
const refreshButton = document.getElementById('refresh-button');
const note = document.getElementById('note');
const visualizationGroup = document.getElementById('visualization-group');
const imageName = document.getElementById('image-name');
form.addEventListener('submit', async (event) => {
event.preventDefault();
progressBar.style.width = '0';
resultBox.style.display = 'none';
note.style.display = 'none';
visualizationGroup.style.display = 'none';
const formData = new FormData(form);
// Simulate progress
let progress = 0;
const interval = setInterval(() => {
if (progress < 100) {
progress += 10;
progressBar.style.width = `${progress}%`;
} else {
clearInterval(interval);
}
}, 100);
const response = await fetch('/predict', { method: 'POST', body: formData });
const data = await response.json();
document.getElementById('original').src = URL.createObjectURL(formData.get('file'));
imageName.textContent = formData.get('file').name;
if (data.error) {
resultBox.style.display = 'block';
document.getElementById('predicted-class').textContent = 'N/A';
document.getElementById('confidence-score').textContent = 'N/A';
note.style.display = 'block';
return;
}
resultBox.style.display = 'block';
document.getElementById('predicted-class').textContent = data.predicted_class;
document.getElementById('confidence-score').textContent = `${data.confidence_score}%`;
visualizationGroup.style.display = 'block';
document.getElementById('grayscale').src = data.visualizations.grayscale;
document.getElementById('equalized').src = data.visualizations.equalized;
document.getElementById('edges').src = data.visualizations.edges;
document.getElementById('segmented').src = data.visualizations.segmented;
document.getElementById('grad_cam').src = data.visualizations.grad_cam;
document.getElementById('roi').src = data.visualizations.roi;
});
refreshButton.addEventListener('click', () => {
window.location.reload();
});
</script>
</body>
</html>
Datasets
Models
