(Liver and Bile Duct) Cholangiocarcinoma
This model can additionally be run on our pathology reports platform
Credits: Dr. Lidiane Marins (Rede D’OR São Paulo, Brazil)
Introduction
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) and trained to recognize cholangiocarcinoma and other surrounding tissue elements.
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) from 5 publicly available TCGA-CHOL H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
Classes
- Connective Tissue
- Demoplasia
- ICC
- Skeletal muscle
- Necrosis
- Non neoplastic liver
- Blank space
This information can be found in the inference.json file
Evaluation Metrics
Classifier validation can be found on the pathology reports platform
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