(Testes) Testicular Cancer
This model can additionally be run on our pathology reports platform
Credits: Dr. Nikfar Nikzad (McMaster University, Canada)
Introduction
This H&E testicular cancer 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 testicular cancer 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 10 local H&E-stained whole slide images. Validation testing was carried out on non-overlapping image tiles from the same cases.
Classes
- Mature Epithelial Pattern
- Fibroconnective Tissue
- Mature Meningothelial Histology
- Mature Neural Tissue (Teratoma)
- Normal Hematolymphoid Tissue
- Rete Testis
- Seminiferous Tubules
- Seminoma
- Necrotic Tissue
- Skeletal Muscle Tissue
- Smooth Muscle Tissue
- Keratinous Material
- Yolk Sac Tumor
- 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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