Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks

OBJECTIVES: Body tissue composition is a long-known biomarker with high diagnostic and prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in rehabilitation medicine or drug dosage. In this study, the aim was to develop a fully automated, reproducible, and quan...

Full description

Saved in:
Bibliographic Details
Published in:Eur Radiol
Main Authors: Koitka, Sven, Kroll, Lennard, Malamutmann, Eugen, Oezcelik, Arzu, Nensa, Felix
Format: Artigo
Language:Inglês
Published: Springer Berlin Heidelberg 2020
Subjects:
Imaging Informatics and Artificial Intelligence
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7979624/
https://ncbi.nlm.nih.gov/pubmed/32945971
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07147-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items