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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.
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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  Data: Deep learning model with collage images for the segmentation of dedicated breast positron emission tomography images.
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  Data: <searchLink fieldCode="AU" term="%22Imokawa+T%22">Imokawa T</searchLink>; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Satoh+Y%22">Satoh Y</searchLink>; Yamanashi PET Imaging Clinic, Chuo City, Yamanashi Prefecture, Japan.; Department of Radiology, University of Yamanashi, Chuo City, Yamanashi Prefecture, Japan.<br /><searchLink fieldCode="AU" term="%22Fujioka+T%22">Fujioka T</searchLink>; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan. fjokmrad@tmd.ac.jp.<br /><searchLink fieldCode="AU" term="%22Takahashi+K%22">Takahashi K</searchLink>; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Mori+M%22">Mori M</searchLink>; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kubota+K%22">Kubota K</searchLink>; Department of Radiology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama Prefecture, Japan.<br /><searchLink fieldCode="AU" term="%22Onishi+H%22">Onishi H</searchLink>; Department of Radiology, University of Yamanashi, Chuo City, Yamanashi Prefecture, Japan.<br /><searchLink fieldCode="AU" term="%22Tateishi+U%22">Tateishi U</searchLink>; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
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  Data: <searchLink fieldCode="JN" term="%22100888201%22">Breast cancer (Tokyo, Japan)</searchLink> [Breast Cancer] 2026 Jan; Vol. 33 (1), pp. 17-24. <i>Date of Electronic Publication: </i>2023 Aug 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Maruzen+Co%22">Maruzen Co </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>100888201 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1880-4233 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213406868%22">13406868 </searchLink><i>NLM ISO Abbreviation: </i>Breast Cancer <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1007/s12282-023-01492-z
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      – Code: eng
        Text: English
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      – TitleFull: Deep learning model with collage images for the segmentation of dedicated breast positron emission tomography images.
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            NameFull: Imokawa T
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            NameFull: Satoh Y
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            – D: 01
              M: 01
              Text: 2026 Jan
              Type: published
              Y: 2026
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              Value: 33
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            – TitleFull: Breast cancer (Tokyo, Japan)
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