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| <title>Pathology Nuclei Classification</title> | |
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| <h1 class="title">Pathology Nuclei Classification</h1> | |
| <h2 class="subtitle">Kalbe Digital Lab</h2> | |
| <section class="overview"> | |
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| <h3 class="overview-heading"><span class="vl">Overview</span></h3> | |
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| <p class="overview-content">Nuclei classification within Haematoxylin & Eosi stained histology images. Classifying nuclei cells as the following types:</p> | |
| <ul> | |
| <li>Other</li> | |
| <li>Inflammatory</li> | |
| <li>Epithelial</li> | |
| <li>Spindle-Shaped</li> | |
| </ul> | |
| <p class="overview-content">References: <a href="https://doi.org/10.1016/j.media.2019.101563" target="_blank">https://doi.org/10.1016/j.media.2019.101563</a></p> | |
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| <h3 class="overview-heading"><span class="vl">Dataset</span></h3> | |
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| The model is trained with Colorectal Nuclear Segmentation and Phenotypes (CoNSeP) dataset | |
| <a href="https://warwick.ac.uk/fac/cross_fac/tia/data/hovernet" target="_blank">https://warwick.ac.uk/fac/cross_fac/tia/data/hovernet</a>. Images were extracted from 16 colorectal adenocarcinoma (CRA) WSIs. | |
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| <ul> | |
| <li>Target: Nuclei</li> | |
| <li>Task: Nuclei Cells Class Classification</li> | |
| <li>Modality: Image (RGB)</li> | |
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| <h3 class="overview-heading"><span class="vl">Model Architecture</span></h3> | |
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| <p class="overview-content">The model is trained using DenseNet121 over CoNSep dataset.</p> | |
| <img class="content-image" src="file/figures/architecture.png" alt="model-architecture" /> | |
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| </section> | |
| <h3 class="overview-heading"><span class="vl">Demo</span></h3> | |
| <p class="overview-content">Please select or upload a nuclei histology image and label image to see Nuclei Cells Classification capabilities of this model</p> | |
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