license: cc-by-4.0 | |
library_name: pytorch | |
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) |