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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Machine learning for differentiating between pancreatobiliary-type and intestinal-type periampullary carcinomas based on CT imaging and clinical findings ; volume:49 ; number:3 ; day:18 ; month:1 ; year:2024 ; pages:748-761 ; date:3.2024
Abdominal radiology ; 49, Heft 3 (18.1.2024), 748-761, 3.2024

Creator: Chen, Tao
Zhang, Danbin
Chen, Shaoqing
Lu, Juan
Guo, Qinger
Cai, Shuyang
Yang, Hong
Wang, Ruixuan
Hu, Ziyao
Chen, Yang

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00261-023-04151-1

URN: urn:nbn:de:101:1-2405080923276.447923008133

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

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Associated

Chen, Tao
Zhang, Danbin
Chen, Shaoqing
Lu, Juan
Guo, Qinger
Cai, Shuyang
Yang, Hong
Wang, Ruixuan
Hu, Ziyao
Chen, Yang
SpringerLink (Online service)

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

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