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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> |
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<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 /> |
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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> |
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<li>Task: Instance Segmentation</li> |
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<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> |
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<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> |
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<p class="overview-content">Please select or upload a histology image to see nuclei segmentation capabilities of this model</p> |
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