(Skin) Melanoma
This model can additionally be run on our pathology reports platform
Credits: Dr. Alberto Leon and Dr. Phedias Diamandis (University of Toronto, Canada)
Introduction
This H&E skin cutaneous melanoma 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 skin cutaneous melanoma and other surrounding tissue elements.
Annotations were carried out on batches of image tiles (dimensions: 256 x 256 px) grouped using image-based clustering (HAVOC, DOI: 10.1126/sciadv.adg1894) from 7 TCGA H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
Classes
- Adipose Tissue
- Blank space
- Blood
- Connective_fibrodsis
- Intestinal Mucosa
- Lymph_dense
- Melanoma
- Necrosis
- Skin Epithelium
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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