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README.md
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license: apache-2.0
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---
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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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---
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### (Prostate) Prostate Adenocarcinoma
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This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/5698f750-6e9a-41b1-bbc8-9f70a0760b4e)
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Credits: Dr. Patrick Murphy (University of Toronto, Canada)
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### Introduction
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This H&E clear cell carcinoma 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 clear cell and papillary renal cell carcinoma 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 24 publicly available TCGA-PRAD H&E-stained whole slide images. The validation was carried out on non-overlapping cases from TCGA.
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### Classes
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1. Benign Glands
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2. Blank space
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3. Edge
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4. Folded Tissue
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5. Pattern 2
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6. Pattern 3
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7. Pattern 4
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8. Pattern 5
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9. Prostate Stroma
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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/5698f750-6e9a-41b1-bbc8-9f70a0760b4e)
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