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An exploratory study on predicting HER2-positive expression status of breast cancer using ultrasound radiomics combined with machine learning models.

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Title: An exploratory study on predicting HER2-positive expression status of breast cancer using ultrasound radiomics combined with machine learning models.
Authors: Zhang XR; School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China., Yuan SS; School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China., Hu JJ; Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area, Shanghai, China., Chen QQ; Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area, Shanghai, China., Xiao YJ; Department of Ultrasound, Shengjing Hospital, China Medical University, Shenyang, China., Huang YF; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China., Yu XQ; Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area, Shanghai, China., Lu F; Center of Ultrasonography, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Shen Y; Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area, Shanghai, China., Fu XH; Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area, Shanghai, China.
Source: PloS one [PLoS One] 2025 Oct 23; Vol. 20 (10), pp. e0334909. Date of Electronic Publication: 2025 Oct 23 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0334909