Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study.

Purpose: To determine if pancreas radiomics-based AI model can detect the CT imaging signature of type 2 diabetes (T2D). Methods: Total 107 radiomic features were extracted from volumetrically segmented normal pancreas in 422 T2D patients and 456 age-matched controls. Dataset was randomly split into...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 47; no. 11; pp. 3806 - 3817
Main Authors:	Wright, Darryl E., Mukherjee, Sovanlal, Patra, Anurima, Khasawneh, Hala, Korfiatis, Panagiotis, Suman, Garima, Chari, Suresh T., Kudva, Yogish C., Kline, Timothy L., Goenka, Ajit H.
Format:	Journal Article
Published:	Springer Nature Nov2022
Online Access:	View this record in EBSCOhost