(Ovarian) Ovarian Carcinoma
This model can additionally be run on our pathology reports platform
Credits: Dr. Noor Alsafwani (King Fahd Hospital of the University, Saudi Arabia)
Introduction
This H&E ovarian carcinoma 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 ovarian serous carcinoma 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 8 publicly available TCGA-OV H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
Classes
- Blank Space
- Fatty Tissue
- Epithelial Tumor
- Fibrous Tissue
- Mixture Of Epithelial Tumor And Fibrous Tissue
- Necrosis
- Normal Ovarian Parenchyma
- Tumor edge
- Hemorrhage
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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