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...

Полное описание

Библиографические подробности
Главные авторы:	Dong, N, Kampffmeyer, M, Voiculescu, I
Формат:	Conference item
Язык:	English
Опубликовано:	Springer 2021

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