Edit model card

A lung cancer tumor classification model. This model is a ResNet34 and was trained on TCGA LUAD.

The model outputs 6 classes per patch:

  1. lepidic
  2. benign
  3. acinar
  4. micropapillary
  5. mucinous
  6. solid

Please refer to the original GitHub Repo

Downloads last month
20
Safetensors
Model size
21.3M params
Tensor type
F32
·
Unable to determine this model’s pipeline type. Check the docs .

Collection including kaczmarj/lung-tumor-resnet34.tcga-luad