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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.