Self-supervised multi-task representation learning for sequential medical images

Self-supervised multi-task representation learning for sequential medical images

Self-supervised representation learning has achieved promising results for downstream visual tasks in natural images. However, its use in the medical domain, where there is an underlying anatomical structural similarity, remains underexplored. To address this shortcoming, we propose a self-supervise...

書誌詳細
主要な著者:	Dong, N, Kampffmeyer, M, Voiculescu, I
フォーマット:	Conference item
言語:	English
出版事項:	Springer 2021

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