(GI) Gastrointestinal Adenocarcinoma
This model can additionally be run on our pathology reports platform
Credits: Dr. Mohamed Al-Yousef (King Fahd Hospital of the University, Saudi Arabia)
Introduction
This H&E colorectal carcinoma 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 colorectal adenocarcinoma 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 8 publicly available TCGA-COAD H&E-stained whole slide images. Validation testing was carried out on non-overlapping image tiles from the same cases.
Classes
- Connective tissue
- Edge of Tumor
- Edge Of Tumor And Inflammtory Cells
- Epithelial Pattern
- Neoplastic epithelial pattern
- Inflammatory Cells
- Mucin
- Smooth muscle
- Acute hemorrhage
- Blank space
- Necrosis
- Neoplastic Epithelial Pattern - Signet Ring
- Non-neoplastic epithelial pattern
This information can be found in the inference.json file
Evaluation Metrics
Classifier validation can be found on the pathology reports platform
- Downloads last month
- 0