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(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

  1. Adenocarcinoma
  2. Blank space
  3. Fibroconnective and stromal elements
  4. Lung parenchyma
  5. Lymphoid tissue
  6. 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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