Ultrasound and Clinicopathological Features-Based Machine Learning Model for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer.
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| Title: | Ultrasound and Clinicopathological Features-Based Machine Learning Model for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer. |
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| Authors: | Hao T; Department of Ultrasound Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China., Ji X; Department of Ultrasound Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China., Zhao Q; Department of Ultrasound Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China., Wei M; Department of Ultrasound Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China. |
| Source: | Cancer reports (Hoboken, N.J.) [Cancer Rep (Hoboken)] 2026 Jun; Vol. 9 (6), pp. e70600. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons, Inc Country of Publication: United States NLM ID: 101747728 Publication Model: Print Cited Medium: Internet ISSN: 2573-8348 (Electronic) Linking ISSN: 25738348 NLM ISO Abbreviation: Cancer Rep (Hoboken) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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