Self-supervised multi-modal alignment for whole body medical imaging

Self-supervised multi-modal alignment for whole body medical imaging

This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large publicly-available dataset of over 20,000 subjects from the UK Biobank with both whole body Dixon technique magnetic res...

Полное описание

Библиографические подробности
Главные авторы:	Windsor, R, Jamaludin, A, Kadir, T, Zisserman, A
Другие авторы:	de Bruijne, M
Формат:	Conference item
Язык:	English
Опубликовано:	Springer 2021

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