On two public medical imaging tasks, 1D convolutional classifiers with skip connections, ResNet50 backbones, and partial unfreezing gave the best validation AUC, while RadImageNet pretraining did not beat ImageNet.
R: A Language and Environment for Statistical Computing
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Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection
On two public medical imaging tasks, 1D convolutional classifiers with skip connections, ResNet50 backbones, and partial unfreezing gave the best validation AUC, while RadImageNet pretraining did not beat ImageNet.