KalbeDigitalLab/pathology_nuclei_segmentation_classification
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1<!DOCTYPE html>2<html>3 <head>4 <link rel="stylesheet" href="file/style.css" />5 <link rel="preconnect" href="https://fonts.googleapis.com" />6 <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />7 <link href="https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600;700&display=swap" rel="stylesheet" />8 <title>Medical Image Classification with MONAI - Pathology Nuclei Segmentation Classification</title>9 </head>10 <body>11 <div class="container">12 <h1 class="title">Medical Image Classification with MONAI - Pathology Nuclei Segmentation Classification</h1>13 <h2 class="subtitle">Kalbe Digital Lab</h2>14 <section class="overview">15 <div class="grid-container">16 <h3 class="overview-heading"><span class="vl">Overview</span></h3>17 <div class="overview-content">18 <p>19 A simultaneous segmentation of nuclei within multitissue histology images. <br />20 References: <a href="https://arxiv.org/abs/1812.06499" target="_blank">https://arxiv.org/abs/1812.06499</a>21 </p>22 </div>23 </div>24 <div class="grid-container">25 <h3 class="overview-heading"><span class="vl">Dataset</span></h3>26 <div>27 <p class="overview-content">The model is trained with multi-tissue histology images based on <a href="https://warwick.ac.uk/fac/cross_fac/tia/data/hovernet/" target="_blank">CoNSeP dataset.</a></p>28 <ul >29 <li>Target: Nuclei</li>30 <li>Task: Instance Segmentation</li>31 <li>Modality: RGB images</li>32 </ul>33 </div>34 </div>35 <div class="grid-container">36 <h3 class="overview-heading"><span class="vl">Model Architecture</span></h3>37 <div>38 <p class="overview-content">Overview approach for simultaneous nuclear instance segmentation.</p>39 <img class="content-image" src="file/figures/OverviewNucleiSegmentationClassification.jpg" alt="model-architecture" />40 </div>41 </div>42 </section>43 <h3 class="overview-heading"><span class="vl">Demo</span></h3>44 <p class="overview-content">Please select or upload a histology image to see nuclei segmentation capabilities of this model</p>45 </div>46 </body>47</html>48 