(Lung) Lung Adenocarcinoma
This model can additionally be run on our pathology reports platform
Credits: Dr. Assem Alrumeh
Introduction
This H&E lung adenocarcinoma 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 lung adenocarcinoma and other surrounding tissue elements.
Annotations were carried out on batches of image tiles (dimensions: 256 x 256 um) grouped using image-based clustering (HAVOC, DOI: 10.1126/sciadv.adg1894) from 10 publicly available TCGA-LUAD H&E-stained whole slide images. Validation testing was carried out on non-overlapping cases from TCGA.
Classes
- Adenocarcinoma
- Blank space
- Fibroconnective and stromal elements
- Lung parenchyma
- Lymphoid tissue
- Necrosis
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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