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

### (Liver and Bile Duct) Cholangiocarcinoma

This model can additionally be run on our [pathology reports platform](https://www.pathologyreports.ai/marketplace/browse/663d5194-6a54-4534-a05c-f6871201838e)

Credits: Dr. Lidiane Marins (Rede D’OR São Paulo, Brazil)

### Introduction

This H&E cholangiocarcinoma 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 cholangiocarcinoma 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 5 publicly available TCGA-CHOL H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.

### Classes

1. Connective Tissue
2. Demoplasia
3. ICC
4. Skeletal muscle
5. Necrosis
6. Non neoplastic liver
7. Blank space

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/663d5194-6a54-4534-a05c-f6871201838e)