Machine learning for differentiating between pancreatobiliary-type and intestinal-type periampullary carcinomas based on CT imaging and clinical findings.

Purpose: To develop a diagnostic model for distinguishing pancreatobiliary-type and intestinal-type periampullary adenocarcinomas using preoperative contrast-enhanced computed tomography (CT) findings combined with clinical characteristics. Methods: This retrospective study included 140 patients wit...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 49; no. 3; pp. 748 - 762
Main Authors:	Chen, Tao, Zhang, Danbin, Chen, Shaoqing, Lu, Juan, Guo, Qinger, Cai, Shuyang, Yang, Hong, Wang, Ruixuan, Hu, Ziyao, Chen, Yang
Format:	Journal Article
Published:	Springer Nature Mar2024
Online Access:	View this record in EBSCOhost