Using a new artificial intelligence‐aided method to assess body composition CT segmentation in colorectal cancer patients

Using a new artificial intelligence‐aided method to assess body composition CT segmentation in colorectal cancer patients

Abstract Introduction This study aimed to evaluate the accuracy of our own artificial intelligence (AI)‐generated model to assess automated segmentation and quantification of body composition‐derived computed tomography (CT) slices from the lumber (L3) region in colorectal cancer (CRC) patients. Met...

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Bibliographic Details
Main Authors:	Ke Cao, Josephine Yeung, Yasser Arafat, Jing Qiao, Richard Gartrell, Mobin Master, Justin M. C. Yeung, Paul N. Baird
Format:	Article
Language:	English
Published:	Wiley 2024-12-01
Series:	Journal of Medical Radiation Sciences
Subjects:	Artificial intelligence automated segmentation body composition colorectal cancer computed tomography
Online Access:	https://doi.org/10.1002/jmrs.798
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