Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features.
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| Title: | Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features. |
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| Authors: | Kai C; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.; Major in Health and Welfare, Graduate School of Niigata, University of Health and Welfare, Niigata, Japan., Tamori H; The Asahi Shimbun Company, Tokyo, Japan., Ohtsuka T; Ohtsuka Breastcare Clinic, Tokyo, Japan., Nara M; Ohtsuka Breastcare Clinic, Tokyo, Japan., Yoshida A; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan., Sato I; Major in Health and Welfare, Graduate School of Niigata, University of Health and Welfare, Niigata, Japan.; Department of Nursing, Faculty of Nursing, Niigata University of Health and Welfare, Niigata City, Niigata, Japan., Futamura H; KONICA MINOLTA, INC, Tokyo, Japan., Kodama N; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan., Kasai S; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan. satoshi-kasai@nuhw.ac.jp. |
| Source: | Breast cancer research and treatment [Breast Cancer Res Treat] 2025 Apr; Vol. 210 (3), pp. 771-782. Date of Electronic Publication: 2025 Jan 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 8111104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7217 (Electronic) Linking ISSN: 01676806 NLM ISO Abbreviation: Breast Cancer Res Treat Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39841349 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kai+C%22">Kai C</searchLink>; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.; Major in Health and Welfare, Graduate School of Niigata, University of Health and Welfare, Niigata, Japan.<br /><searchLink fieldCode="AU" term="%22Tamori+H%22">Tamori H</searchLink>; The Asahi Shimbun Company, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Ohtsuka+T%22">Ohtsuka T</searchLink>; Ohtsuka Breastcare Clinic, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Nara+M%22">Nara M</searchLink>; Ohtsuka Breastcare Clinic, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Yoshida+A%22">Yoshida A</searchLink>; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.<br /><searchLink fieldCode="AU" term="%22Sato+I%22">Sato I</searchLink>; Major in Health and Welfare, Graduate School of Niigata, University of Health and Welfare, Niigata, Japan.; Department of Nursing, Faculty of Nursing, Niigata University of Health and Welfare, Niigata City, Niigata, Japan.<br /><searchLink fieldCode="AU" term="%22Futamura+H%22">Futamura H</searchLink>; KONICA MINOLTA, INC, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kodama+N%22">Kodama N</searchLink>; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.<br /><searchLink fieldCode="AU" term="%22Kasai+S%22">Kasai S</searchLink>; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan. satoshi-kasai@nuhw.ac.jp. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228111104%22">Breast cancer research and treatment</searchLink> [Breast Cancer Res Treat] 2025 Apr; Vol. 210 (3), pp. 771-782. <i>Date of Electronic Publication: </i>2025 Jan 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer+Academic%22">Kluwer Academic </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8111104 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-7217 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201676806%22">01676806 </searchLink><i>NLM ISO Abbreviation: </i>Breast Cancer Res Treat <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39841349 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10549-025-07614-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 771 Titles: – TitleFull: Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kai C – PersonEntity: Name: NameFull: Tamori H – PersonEntity: Name: NameFull: Ohtsuka T – PersonEntity: Name: NameFull: Nara M – PersonEntity: Name: NameFull: Yoshida A – PersonEntity: Name: NameFull: Sato I – PersonEntity: Name: NameFull: Futamura H – PersonEntity: Name: NameFull: Kodama N – PersonEntity: Name: NameFull: Kasai S IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Apr Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1573-7217 Numbering: – Type: volume Value: 210 – Type: issue Value: 3 Titles: – TitleFull: Breast cancer research and treatment Type: main |
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