|
|
<!DOCTYPE html> |
|
|
<html> |
|
|
<head> |
|
|
<link rel="stylesheet" href="file/style.css" /> |
|
|
<link rel="preconnect" href="https://fonts.googleapis.com" /> |
|
|
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin /> |
|
|
<link href="https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600;700&display=swap" rel="stylesheet" /> |
|
|
<title><strong>Breast Cancer Classification</strong></title> |
|
|
</head> |
|
|
<body> |
|
|
<div class="container"> |
|
|
<h1 class="title"><strong> Breast Cancer Classification</strong></h1> |
|
|
<h2 class="subtitle"><strong>Kalbe Digital Lab</strong></h2> |
|
|
<section class="overview"> |
|
|
<div class="grid-container"> |
|
|
<h3 class="overview-heading"><span class="vl">Overview</span></h3> |
|
|
<p class="overview-content"> |
|
|
The Breast Cancer Classification program serves the critical purpose of categorizing breast ultrasound images into three distinct classes: normal, benign, and malignant, with the primary objective being the identification of lesions. This program trained using ResNet18 model. |
|
|
</p> |
|
|
</div> |
|
|
<div class="grid-container"> |
|
|
<h3 class="overview-heading"><span class="vl">Dataset</span></h3> |
|
|
<div> |
|
|
<p class="overview-content"> |
|
|
The program has been meticulously trained on a robust and diverse dataset, specifically <a href="https://www.kaggle.com/datasets/aryashah2k/breast-ultrasound-images-dataset" target="_blank">Breast Ultrasound Images Dataset.</a>. |
|
|
<br/> |
|
|
This dataset is a comprehensive repository of ultrasound scans, encompassing a wide spectrum of breast conditions. It is a highly valuable resource that has been instrumental in the training of our model. |
|
|
</p> |
|
|
<ul> |
|
|
<li>objective: Lesion identification</li> |
|
|
<li>Task: Classification</li> |
|
|
<li>Modality: Grayscale Images</li> |
|
|
</ul> |
|
|
</div> |
|
|
</div> |
|
|
<div class="grid-container"> |
|
|
<h3 class="overview-heading"><span class="vl">Model Architecture</span></h3> |
|
|
<div> |
|
|
<p class="overview-content"> |
|
|
The model architecture of ResNet18 to train Ultrasound images for classifying breast cancer. |
|
|
</p> |
|
|
<img class="content-image" src="file/figures/flow.png" alt="model-architecture" /> |
|
|
</div> |
|
|
</div> |
|
|
</section> |
|
|
<h3 class="overview-heading"><span class="vl">Demo</span></h3> |
|
|
<p class="overview-content">Please select or upload a Breast Ultrasound scan image to see the capabilities of breast cancer classification with this model</p> |
|
|
</div> |
|
|
</body> |
|
|
</html> |
|
|
|
