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license: apache-2.0 |
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tags: |
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- vision |
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- image-classification |
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### (Liver and Bile Duct) Cholangiocarcinoma |
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This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/663d5194-6a54-4534-a05c-f6871201838e) |
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Credits: Dr. Lidiane Marins (Rede D’OR São Paulo, Brazil) |
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### Introduction |
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This H&E cholangiocarcinoma tissue classifier was developed using transfer learning on a histology optimized version of the VGG19 CNN [(DOI: 10.1038/s42256-019-0068-6)](https://doi.org/10.1038/s42256-019-0068-6) and trained to recognize cholangiocarcinoma and other surrounding tissue elements. |
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Annotations were carried out on batches of image tiles (dimensions: 512 x 512 px) grouped using image-based clustering [(HAVOC, DOI: 10.1126/sciadv.adg1894)](https://doi.org/10.1126/sciadv.adg1894) from 5 publicly available TCGA-CHOL H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA. |
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### Classes |
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1. Connective Tissue |
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2. Demoplasia |
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3. ICC |
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4. Skeletal muscle |
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5. Necrosis |
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6. Non neoplastic liver |
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7. Blank space |
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This information can be found in the inference.json file |
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### Evaluation Metrics |
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Classifier validation can be found on the [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/663d5194-6a54-4534-a05c-f6871201838e) |