Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

Abstract To develop a fully automatic model capable of reliably quantifying epicardial adipose tissue (EAT) volumes and attenuation in large scale population studies to investigate their relation to markers of cardiometabolic risk. Non-contrast cardiac CT images from the SCAPIS study were used to tr...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	David Molnar, Olof Enqvist, Johannes Ulén, Måns Larsson, John Brandberg, Åse A. Johnsson, Elias Björnson, Göran Bergström, Ola Hjelmgren
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2021-12-01
Цуврал:	Scientific Reports
Онлайн хандалт:	https://doi.org/10.1038/s41598-021-03150-w
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!