Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study.
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| Title: | Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study. |
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| Authors: | Yasaka K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com., Kawamura M; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Sonoda Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kubo T; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kiryu S; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan., Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. |
| Source: | Japanese journal of radiology [Jpn J Radiol] 2025 May; Vol. 43 (5), pp. 779-786. Date of Electronic Publication: 2024 Dec 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X (Electronic) Linking ISSN: 18671071 NLM ISO Abbreviation: Jpn J Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39668277 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yasaka+K%22">Yasaka K</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com.<br /><searchLink fieldCode="AU" term="%22Kawamura+M%22">Kawamura M</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Sonoda+Y%22">Sonoda Y</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kubo+T%22">Kubo T</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kiryu+S%22">Kiryu S</searchLink>; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan.<br /><searchLink fieldCode="AU" term="%22Abe+O%22">Abe O</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101490689%22">Japanese journal of radiology</searchLink> [Jpn J Radiol] 2025 May; Vol. 43 (5), pp. 779-786. <i>Date of Electronic Publication: </i>2024 Dec 13. – 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="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>101490689 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1867-108X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218671071%22">18671071 </searchLink><i>NLM ISO Abbreviation: </i>Jpn J Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39668277 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11604-024-01718-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 779 Titles: – TitleFull: Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yasaka K – PersonEntity: Name: NameFull: Kawamura M – PersonEntity: Name: NameFull: Sonoda Y – PersonEntity: Name: NameFull: Kubo T – PersonEntity: Name: NameFull: Kiryu S – PersonEntity: Name: NameFull: Abe O IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2025 May Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1867-108X Numbering: – Type: volume Value: 43 – Type: issue Value: 5 Titles: – TitleFull: Japanese journal of radiology Type: main |
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