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Found 4 papers, 2 papers with code
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
The prevalent DA approaches in MIA encompass conventional DA, synthetic DA, and automatic DA.
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
With remarkable feature capture ability and generalization ability, we believe CECT can be extended to other medical scenarios as a powerful diagnosis tool.
Recent Progress in Transformer-based Medical Image Analysis
The mainstream classification and segmentation tasks are further divided into eleven medical image modalities.
GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification
To address the training challenges of both GAN and CNN with limited data, we employ transfer learning techniques during their training.
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