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Deep learning model shows promise for detecting and grading sesamoiditis in horse radiographs.
Guo, Li; Yu, Xinhui; Thair, Anas; Rideout, Andrew; Collins, Andrew; Wang, Z Jane; Hore, Michael.
Affiliation
  • Guo L; Department of Electrical and Computer Engineering, University of British Columbia, British Columbia, Canada.
  • Yu X; Department of Electrical and Computer Engineering, University of British Columbia, British Columbia, Canada.
  • Thair A; Department of Electrical and Computer Engineering, University of British Columbia, British Columbia, Canada.
  • Rideout A; Point to Point Research Development, British Columbia, Canada.
  • Collins A; Baker McVeigh and Clements, Newmarket, England.
  • Wang ZJ; Department of Electrical and Computer Engineering, University of British Columbia, British Columbia, Canada.
  • Hore M; Hagyard Equine Medical Institute, Lexington, Kentucky.
Am J Vet Res ; 85(1)2024 Jan 01.
Article in En | MEDLINE | ID: mdl-37852296
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sesamoid Bones / Deep Learning / Horse Diseases Limits: Animals Language: En Journal: Am J Vet Res Year: 2024 Type: Article Affiliation country: Canada
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sesamoid Bones / Deep Learning / Horse Diseases Limits: Animals Language: En Journal: Am J Vet Res Year: 2024 Type: Article Affiliation country: Canada