AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies

Abstract Background Whole-body imaging has recently been added to large-scale epidemiological studies providing novel opportunities for investigating abdominal organs. However, the segmentation of these organs is required beforehand, which is time consuming, particularly on such a large scale. Metho...

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Bibliographic Details
Main Authors: Anne-Marie Rickmann, Jyotirmay Senapati, Oksana Kovalenko, Annette Peters, Fabian Bamberg, Christian Wachinger
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Medical Imaging
Subjects:
Deep learning
Segmentation
Abdominal MRI
Dixon MRI
Online Access:https://doi.org/10.1186/s12880-022-00893-4

Internet

https://doi.org/10.1186/s12880-022-00893-4

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