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Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation
[article]
2020
arXiv
pre-print
The success of deep convolutional neural networks is partially attributed to the massive amount of annotated training data. However, in practice, medical data annotations are usually expensive and time-consuming to be obtained. Considering multi-modality data with the same anatomic structures are widely available in clinic routine, in this paper, we aim to exploit the prior knowledge (e.g., shape priors) learned from one modality (aka., assistant modality) to improve the segmentation
arXiv:2010.01532v1
fatcat:ipaxqvcjpne3jf44yyin7ywxxe