Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western populationResearch in context

Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western populationResearch in context

Summary: Background: Manually extracted imaging-based body composition measures from a single-slice area (A) have shown associations with clinical outcomes in patients with cardiometabolic disease and cancer. With advances in artificial intelligence, fully automated volumetric (V) segmentation appr...

Full description

Saved in:
Bibliographic Details
Main Authors: Matthias Jung, Vineet K. Raghu, Marco Reisert, Hanna Rieder, Susanne Rospleszcz, Tobias Pischon, Thoralf Niendorf, Hans-Ulrich Kauczor, Henry Völzke, Robin Bülow, Maximilian F. Russe, Christopher L. Schlett, Michael T. Lu, Fabian Bamberg, Jakob Weiss
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:EBioMedicine
Subjects:
Magnetic resonance imaging
Artificial intelligence
Deep learning
Body composition
Public health
Mortality
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396424005036
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items