| | --- |
| | license: apache-2.0 |
| | tags: |
| | - pytorch |
| | - dinov1 |
| | - chest-ct |
| | - survival-analysis |
| | - time-to-event |
| | - model-2d |
| | model-index: |
| | - name: dinov1 |
| | results: [] |
| | --- |
| | |
| | # DinoV1-CT Checkpoint |
| |
|
| | This is a PyTorch Lightning `.ckpt` checkpoint for a DinoV1 model trained on chest CT images. |
| |
|
| | ## Usage |
| |
|
| | A quickstart script is below. |
| |
|
| | ```python |
| | import radfusion3 |
| | dm = radfusion3.data.DataModule(config, test_split=config.test_split) |
| | model = radfusion3.builder.build_lightning_model(config, ckpt=ckpt) |
| | trainer.fit(model=model, datamodule=dm, ckpt_path=config.ckpt) |
| | trainer.test(datamodule=dm, ckpt_path="best") |
| | ``` |
| |
|
| | For detailed instructions please follow the [README in Github repo](https://github.com/som-shahlab/INSPECT_public/tree/main?tab=readme-ov-file#1-image-modality-experiment). |
