| license: cc-by-nc-sa-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) |