A structured review of small-sample learning techniques for deep learning in biomedical image analysis, covering explanation, weak supervision, transfer learning, active learning, and data augmentation.
Adversarial synthesis learning enables segmentation without target modality ground truth, in: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
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A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
A structured review of small-sample learning techniques for deep learning in biomedical image analysis, covering explanation, weak supervision, transfer learning, active learning, and data augmentation.