"A Machine Learning Model Based on Global Mammographic Radiomic Features ..."

Somphone Siviengphanom et al. (2025)

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DOI: 10.1007/S10278-024-01291-8

access: closed

type: Journal Article

metadata version: 2025-11-15

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  - https://dblp.org/rec/journals/jdi/SiviengphanomBLTG25
Somphone Siviengphanom, Patrick C. Brennan, Sarah J. Lewis, Phuong Dung Trieu, Ziba Gandomkar:
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult. J. Imaging Inform. Medicine 38(3): 1904-1913 (2025)

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