Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.

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Bibliographic Details
Title: Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.
Authors: Fu Y; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Chen HJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Zhang H; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Liu DJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Chen X; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Qiu CY; Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China., Lu WW; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Bai HM; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Li QW; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Li GX; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Shen ZJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Gu CJ; Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Zhang YP; Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China., Ni XJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Source: Frontiers in oncology [Front Oncol] 2025 Oct 08; Vol. 15, pp. 1558880. Date of Electronic Publication: 2025 Oct 08 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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