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<title>Medical Image Classification with MONAI - Pathology Nuclei Segmentation Classification</title>
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<h1 class="title">Medical Image Classification with MONAI - Pathology Nuclei Segmentation Classification</h1>
<h2 class="subtitle">Kalbe Digital Lab</h2>
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<h3 class="overview-heading"><span class="vl">Overview</span></h3>
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A simultaneous segmentation of nuclei within multitissue histology images. <br />
References: <a href="https://arxiv.org/abs/1812.06499" target="_blank">https://arxiv.org/abs/1812.06499</a>
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<h3 class="overview-heading"><span class="vl">Dataset</span></h3>
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<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>
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<li>Target: Nuclei</li>
<li>Task: Instance Segmentation</li>
<li>Modality: RGB images</li>
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<h3 class="overview-heading"><span class="vl">Model Architecture</span></h3>
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<p class="overview-content">Overview approach for simultaneous nuclear instance segmentation.</p>
<img class="content-image" src="file/figures/OverviewNucleiSegmentationClassification.jpg" alt="model-architecture" />
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<h3 class="overview-heading"><span class="vl">Demo</span></h3>
<p class="overview-content">Please select or upload a histology image to see nuclei segmentation capabilities of this model</p>
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