Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images

Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images

Abstract Manual delineation of liver segments on computed tomography (CT) images for primary/secondary liver cancer (LC) patients is time-intensive and prone to inter/intra-observer variability. Therefore, we developed a deep-learning-based model to auto-contour liver segments and spleen on contrast...

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Bibliographic Details
Main Authors: Aashish C. Gupta, Guillaume Cazoulat, Mais Al Taie, Sireesha Yedururi, Bastien Rigaud, Austin Castelo, John Wood, Cenji Yu, Caleb O’Connor, Usama Salem, Jessica Albuquerque Marques Silva, Aaron Kyle Jones, Molly McCulloch, Bruno C. Odisio, Eugene J. Koay, Kristy K. Brock
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-53997-y

Internet

https://doi.org/10.1038/s41598-024-53997-y

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