Spaces:
Build error
Build error
| <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>Pathology Nuclei Classification</title> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1 class="title">Pathology Nuclei Classification</h1> | |
| <h2 class="subtitle">Kalbe Digital Lab</h2> | |
| <section class="overview"> | |
| <div class="grid-container"> | |
| <h3 class="overview-heading"><span class="vl">Overview</span></h3> | |
| <div> | |
| <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> | |
| </div> | |
| </div> | |
| <div class="grid-container"> | |
| <h3 class="overview-heading"><span class="vl">Dataset</span></h3> | |
| <div> | |
| <p class="overview-content"> | |
| 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. | |
| </p> | |
| <ul> | |
| <li>Target: Nuclei</li> | |
| <li>Task: Classification</li> | |
| <li>Modality: Images (Histology and Label) </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 is trained using DenseNet121 over CoNSep dataset.</p> | |
| <img class="content-image" src="file/figures/architecture.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 nuclei histology image and label image to see Nuclei Cells Classification capabilities of this model</p> | |
| </div> | |
| </body> | |
| </html> | |