---
license: apache-2.0
tags:
- vision
- image-classification
---

### (Prostate) Prostate Adenocarcinoma

This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/5698f750-6e9a-41b1-bbc8-9f70a0760b4e)

Credits: Dr. Patrick Murphy (University of Toronto, Canada)

### Introduction

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.

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.


### Classes
1. Benign Glands
2. Blank space
3. Edge
4. Folded Tissue
5. Pattern 2
6. Pattern 3
7. Pattern 4
8. Pattern 5
9. Prostate Stroma

This information can be found in the inference.json file

### Evaluation Metrics

Classifier validation can be found on the [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/5698f750-6e9a-41b1-bbc8-9f70a0760b4e)