View in EDS HTML Full Text PDF Full Text

Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study.

Saved in:
Bibliographic Details
Title: Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study.
Authors: Imani M; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Buratto J; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Dao T; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Meijering E; School of Computer Science and Engineering, The University of New South Wales, Kensington, New South Wales, Australia., Vogrin S; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia., Kwok TCY; Jockey Club Centre for Osteoporosis Care and Control, School of Public Health, The Chinese University of Hong Kong, Shatin, Hong Kong., Orwoll ES; Division of Endocrinology, Diabetes and Clinical Nutrition, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA., Cawthon PM; Research Institute, California Pacific Medical Center, San Francisco, California, USA.; School of Medicine, University of California San Francisco, San Francisco, California, USA., Duque G; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.; Bone, Muscle & Geroscience Group, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada.
Source: Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2025 Apr; Vol. 16 (2), pp. e13728.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders Country of Publication: Germany NLM ID: 101552883 Publication Model: Print Cited Medium: Internet ISSN: 2190-6009 (Electronic) Linking ISSN: 21905991 NLM ISO Abbreviation: J Cachexia Sarcopenia Muscle Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40022453
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Imani+M%22">Imani M</searchLink>; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Buratto+J%22">Buratto J</searchLink>; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Dao+T%22">Dao T</searchLink>; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Meijering+E%22">Meijering E</searchLink>; School of Computer Science and Engineering, The University of New South Wales, Kensington, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Vogrin+S%22">Vogrin S</searchLink>; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Kwok+TCY%22">Kwok TCY</searchLink>; Jockey Club Centre for Osteoporosis Care and Control, School of Public Health, The Chinese University of Hong Kong, Shatin, Hong Kong.<br /><searchLink fieldCode="AU" term="%22Orwoll+ES%22">Orwoll ES</searchLink>; Division of Endocrinology, Diabetes and Clinical Nutrition, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.<br /><searchLink fieldCode="AU" term="%22Cawthon+PM%22">Cawthon PM</searchLink>; Research Institute, California Pacific Medical Center, San Francisco, California, USA.; School of Medicine, University of California San Francisco, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Duque+G%22">Duque G</searchLink>; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Department of Medicine-Western Health, The University of Melbourne, St. Albans, Victoria, Australia.; Bone, Muscle & Geroscience Group, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101552883%22">Journal of cachexia, sarcopenia and muscle</searchLink> [J Cachexia Sarcopenia Muscle] 2025 Apr; Vol. 16 (2), pp. e13728.
– 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="%22John+Wiley+%26+Sons+Ltd+on+behalf+of+Society+on+Sarcopenia%2C+Cachexia+and+Wasting+Disorders%22">John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101552883 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2190-6009 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221905991%22">21905991 </searchLink><i>NLM ISO Abbreviation: </i>J Cachexia Sarcopenia Muscle <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40022453
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/jcsm.13728
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e13728
    Titles:
      – TitleFull: Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Imani M
      – PersonEntity:
          Name:
            NameFull: Buratto J
      – PersonEntity:
          Name:
            NameFull: Dao T
      – PersonEntity:
          Name:
            NameFull: Meijering E
      – PersonEntity:
          Name:
            NameFull: Vogrin S
      – PersonEntity:
          Name:
            NameFull: Kwok TCY
      – PersonEntity:
          Name:
            NameFull: Orwoll ES
      – PersonEntity:
          Name:
            NameFull: Cawthon PM
      – PersonEntity:
          Name:
            NameFull: Duque G
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: 2025 Apr
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2190-6009
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of cachexia, sarcopenia and muscle
              Type: main
ResultId 1