View in EDS PDF Full Text

Deep Learning Based on Automated Breast Volume Scanner Images for the Diagnosis of Breast Lesions: A Multicenter Diagnostic Study.

Saved in:
Bibliographic Details
Title: Deep Learning Based on Automated Breast Volume Scanner Images for the Diagnosis of Breast Lesions: A Multicenter Diagnostic Study.
Authors: Liu H; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Zhang Y; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Tan B; MedAI Technology (Wuxi) Co. Ltd, Wuxi, China., Yin YF; Department of Medical Ultrasound, Affiliated Hospital of Nantong University, Nantong, 226001, China., Yan LX; Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Xiang LH; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Shan DD; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Zhang YY; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Ding SS; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Xu G; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Zhou BY; Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Shi YL; MedAI Technology (Wuxi) Co. Ltd, Wuxi, China., Zhu XX; Chair of Data Science in Earth Observation, Technical University of Munich, Germany., Hu JL; MedAI Technology (Wuxi) Co. Ltd, Wuxi, China., Sun LP; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China., Xu HX; Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China., Zhang YF; Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Source: International journal of medical sciences [Int J Med Sci] 2025 Aug 22; Vol. 22 (15), pp. 3924-3937. Date of Electronic Publication: 2025 Aug 22 (Print Publication: 2025).
Publication Type: Journal Article; Multicenter Study; Randomized Controlled Trial
Journal Info: Publisher: Ivyspring International Publisher Country of Publication: Australia NLM ID: 101213954 Publication Model: eCollection Cited Medium: Internet ISSN: 1449-1907 (Electronic) Linking ISSN: 14491907 NLM ISO Abbreviation: Int J Med Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41049432
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep Learning Based on Automated Breast Volume Scanner Images for the Diagnosis of Breast Lesions: A Multicenter Diagnostic Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu+H%22">Liu H</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Tan+B%22">Tan B</searchLink>; MedAI Technology (Wuxi) Co. Ltd, Wuxi, China.<br /><searchLink fieldCode="AU" term="%22Yin+YF%22">Yin YF</searchLink>; Department of Medical Ultrasound, Affiliated Hospital of Nantong University, Nantong, 226001, China.<br /><searchLink fieldCode="AU" term="%22Yan+LX%22">Yan LX</searchLink>; Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Xiang+LH%22">Xiang LH</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Shan+DD%22">Shan DD</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YY%22">Zhang YY</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Ding+SS%22">Ding SS</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Xu+G%22">Xu G</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Zhou+BY%22">Zhou BY</searchLink>; Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Shi+YL%22">Shi YL</searchLink>; MedAI Technology (Wuxi) Co. Ltd, Wuxi, China.<br /><searchLink fieldCode="AU" term="%22Zhu+XX%22">Zhu XX</searchLink>; Chair of Data Science in Earth Observation, Technical University of Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Hu+JL%22">Hu JL</searchLink>; MedAI Technology (Wuxi) Co. Ltd, Wuxi, China.<br /><searchLink fieldCode="AU" term="%22Sun+LP%22">Sun LP</searchLink>; Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University Shanghai 200072, China.<br /><searchLink fieldCode="AU" term="%22Xu+HX%22">Xu HX</searchLink>; Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YF%22">Zhang YF</searchLink>; Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101213954%22">International journal of medical sciences</searchLink> [Int J Med Sci] 2025 Aug 22; Vol. 22 (15), pp. 3924-3937. <i>Date of Electronic Publication: </i>2025 Aug 22 (<i>Print Publication: </i>2025).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Multicenter Study; Randomized Controlled Trial
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Ivyspring+International+Publisher%22">Ivyspring International Publisher </searchLink><i>Country of Publication: </i>Australia <i>NLM ID: </i>101213954 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1449-1907 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214491907%22">14491907 </searchLink><i>NLM ISO Abbreviation: </i>Int J Med Sci <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41049432
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.7150/ijms.118430
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 3924
    Titles:
      – TitleFull: Deep Learning Based on Automated Breast Volume Scanner Images for the Diagnosis of Breast Lesions: A Multicenter Diagnostic Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu H
      – PersonEntity:
          Name:
            NameFull: Zhang Y
      – PersonEntity:
          Name:
            NameFull: Tan B
      – PersonEntity:
          Name:
            NameFull: Yin YF
      – PersonEntity:
          Name:
            NameFull: Yan LX
      – PersonEntity:
          Name:
            NameFull: Xiang LH
      – PersonEntity:
          Name:
            NameFull: Shan DD
      – PersonEntity:
          Name:
            NameFull: Zhang YY
      – PersonEntity:
          Name:
            NameFull: Ding SS
      – PersonEntity:
          Name:
            NameFull: Xu G
      – PersonEntity:
          Name:
            NameFull: Zhou BY
      – PersonEntity:
          Name:
            NameFull: Shi YL
      – PersonEntity:
          Name:
            NameFull: Zhu XX
      – PersonEntity:
          Name:
            NameFull: Hu JL
      – PersonEntity:
          Name:
            NameFull: Sun LP
      – PersonEntity:
          Name:
            NameFull: Xu HX
      – PersonEntity:
          Name:
            NameFull: Zhang YF
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 22
              M: 08
              Text: 2025 Aug 22
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1449-1907
          Numbering:
            – Type: volume
              Value: 22
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: International journal of medical sciences
              Type: main
ResultId 1