
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](https://github.com/SBU-BMI/quip_lung_cancer_detection)
{"license": "cc-by-4.0", "library_name": "pytorch"}
pytorch safetensors license:cc-by-4.0 region:us
TAGS
#pytorch #safetensors #license-cc-by-4.0 #region-us 


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
TAGS
#pytorch #safetensors #license-cc-by-4.0 #region-us 
