Deep learning model with collage images for the segmentation of dedicated breast positron emission tomography images.
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| Title: | Deep learning model with collage images for the segmentation of dedicated breast positron emission tomography images. |
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| Authors: | Imokawa T; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan., Satoh Y; Yamanashi PET Imaging Clinic, Chuo City, Yamanashi Prefecture, Japan.; Department of Radiology, University of Yamanashi, Chuo City, Yamanashi Prefecture, Japan., Fujioka T; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan. fjokmrad@tmd.ac.jp., Takahashi K; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan., Mori M; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan., Kubota K; Department of Radiology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama Prefecture, Japan., Onishi H; Department of Radiology, University of Yamanashi, Chuo City, Yamanashi Prefecture, Japan., Tateishi U; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan. |
| Source: | Breast cancer (Tokyo, Japan) [Breast Cancer] 2026 Jan; Vol. 33 (1), pp. 17-24. Date of Electronic Publication: 2023 Aug 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Maruzen Co Country of Publication: Japan NLM ID: 100888201 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1880-4233 (Electronic) Linking ISSN: 13406868 NLM ISO Abbreviation: Breast Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1880-4233 |
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| DOI: | 10.1007/s12282-023-01492-z |
