A dual-core driven hybrid radiomics integrates multiple views of greyscale ultrasound image for the early management from diagnosis to biopsy suggestion of BI-RADS 4 breast lesions: a prospective multicenter study.
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| Title: | A dual-core driven hybrid radiomics integrates multiple views of greyscale ultrasound image for the early management from diagnosis to biopsy suggestion of BI-RADS 4 breast lesions: a prospective multicenter study. |
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| Authors: | Zhou BY; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Sun LP; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China., Xia HS; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Tan B; MedAI Technology (Wuxi) Co., Ltd., Wuxi, China., Shi YL; MedAI Technology (Wuxi) Co., Ltd., Wuxi, China., Liu H; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China., Qin C; Department of Ultrasound, Jinshan Hospital, Fudan University, Shanghai, China., Sun YK; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Wang LF; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Guan X; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Lu D; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Ye X; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Han H; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China., Huang B; Department of Ultrasound, Zhejiang Hospital, Hangzhou, Zhejiang Province, China. hb2k@163.com., Zhu XX; Data Science in Earth Observation, Technical University of Munich, Munich, Germany. xiaoxiang.zhu@tum.de., Zhao CK; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China. zhaochongke123@163.com., Xu HX; Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China. xuhuixiong@126.com. |
| Source: | Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2025 Dec 13; Vol. 26 (1), pp. 9. Date of Electronic Publication: 2025 Dec 13. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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