Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images

Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images

Abstract Manually delineating upper abdominal organs at risk (OARs) is a time-consuming task. To develop a deep-learning-based tool for accurate and robust auto-segmentation of these OARs, forty pancreatic cancer patients with contrast-enhanced breath-hold computed tomographic (CT) images were selec...

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Bibliographic Details
Main Authors: Cenji Yu, Chidinma P. Anakwenze, Yao Zhao, Rachael M. Martin, Ethan B. Ludmir, Joshua S.Niedzielski, Asad Qureshi, Prajnan Das, Emma B. Holliday, Ann C. Raldow, Callistus M. Nguyen, Raymond P. Mumme, Tucker J. Netherton, Dong Joo Rhee, Skylar S. Gay, Jinzhong Yang, Laurence E. Court, Carlos E. Cardenas
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-21206-3

Internet

https://doi.org/10.1038/s41598-022-21206-3

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