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resnetv2_ct – AI Model by StanfordShahLab | AlphaNeural AI

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StanfordShahLab/
resnetv2_ct

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ResNetV2-CT Checkpoint

This is a PyTorch Lightning .ckpt checkpoint for a ResNetV2 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.