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A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.

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Title: A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.
Authors: Siviengphanom, Somphone1, ssiv6387@uni.sydney.edu.au, Brennan, Patrick C.1, Lewis, Sarah J.1,2, Trieu, Phuong Dung1, Gandomkar, Ziba1
Source: Journal of Imaging Informatics in Medicine; Jun2025, Vol. 38 Issue 3, p1904-1913, 10p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Informatics+in+Medicine%22">Journal of Imaging Informatics in Medicine</searchLink>; Jun2025, Vol. 38 Issue 3, p1904-1913, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185280529
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        Value: 10.1007/s10278-024-01291-8
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        Text: English
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      – TitleFull: A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.
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              Text: Jun2025
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              Y: 2025
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