Model weights and predictions for reproducible benchmarking experiments in MedMNIST v2
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下载链接：
https://zenodo.org/record/7782113
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资源简介：
This data repository is associated with our GitHub code
weights_*.zip:
PyTorch, AutoKeras and Google AutoML Vision are provided for MedMNIST2D.
PyTorch and AutoKeras are provided for MedMNIST3D.
If you are using PyTorch model weights, please note that the ResNet18_224 / ResNet50_224 models are trained with images resized to 224 x 224 by PIL.Image.NEAREST.
Snapshots for auto-sklearn are not uploaded due to the embarrassingly large model sizes (lots of model ensemble).
predictions.zip: We also provide all standard prediction files by PyTorch, auto-sklearn, AutoKeras and Google AutoML Vision, which works with medmnist.Evaluator. Each file is named as {flag}_{split}_[AUC]{auc:.3f}_[ACC]{acc:.3f}@{run}.csv, e.g., bloodmnist_test_[AUC]0.997_[ACC]0.957@autokeras_3.csv.
创建时间：
2023-03-31
