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A Deep Learning Tool for Automated Landmark Annotation on Hip and Pelvis Radiographs.
Mulford, Kellen L; Johnson, Quinn J; Mujahed, Tala; Khosravi, Bardia; Rouzrokh, Pouria; Mickley, John P; Taunton, Michael J; Wyles, Cody C.
Affiliation
  • Mulford KL; Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota.
  • Johnson QJ; Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, Minnesota.
  • Mujahed T; Mayo Clinic Alix School of Medicine, Scottsdale, Arizona.
  • Khosravi B; Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota.
  • Rouzrokh P; Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota.
  • Mickley JP; Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota.
  • Taunton MJ; Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • Wyles CC; Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
J Arthroplasty ; 38(10): 2024-2031.e1, 2023 10.
Article de En | MEDLINE | ID: mdl-37236288
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Apprentissage profond Type d'étude: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Limites: Humans Langue: En Journal: J Arthroplasty Sujet du journal: ORTOPEDIA Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Apprentissage profond Type d'étude: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Limites: Humans Langue: En Journal: J Arthroplasty Sujet du journal: ORTOPEDIA Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique