Intra-tumor and peritumoral radiomics and deep learning based on ultrasound for differentiating fibroadenoma and phyllodes tumor: a multicenter study.
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| Title: | Intra-tumor and peritumoral radiomics and deep learning based on ultrasound for differentiating fibroadenoma and phyllodes tumor: a multicenter study. |
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| Authors: | Lu G; Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China., Tian R; School of Software, Shenyang University of Technology, Shenyang, Liaoning, China., Yang W; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China., Liu D; Department of Ultrasound, Beijing Shijitan Hospital, Capital Medical University, Beijing, China., Chen W; Department of Research and Development, United Imaging Intelligence (Beijing) Co., Ltd., Beijing, China., Liang J; Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China., Peng Q; Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China., Hao S; Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China., Zhang G; Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China. |
| Source: | Frontiers in oncology [Front Oncol] 2025 Oct 23; Vol. 15, pp. 1668793. Date of Electronic Publication: 2025 Oct 23 (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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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1668793 |
