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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Dong, N, Kampffmeyer, M, Voiculescu, I
Formatua:	Conference item
Hizkuntza:	English
Argitaratua:	Springer 2021

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