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Deep learning for dermatologists: Part II. Current applications.
Puri, Pranav; Comfere, Nneka; Drage, Lisa A; Shamim, Huma; Bezalel, Spencer A; Pittelkow, Mark R; Davis, Mark D P; Wang, Michael; Mangold, Aaron R; Tollefson, Megha M; Lehman, Julia S; Meves, Alexander; Yiannias, James A; Otley, Clark C; Carter, Rickey E; Sokumbi, Olayemi; Hall, Matthew R; Bridges, Alina G; Murphree, Dennis H.
Afiliación
  • Puri P; Mayo Clinic Alix School of Medicine, Scottsdale, Arizona; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota.
  • Comfere N; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota. Electronic address: comfere.nneka@mayo.edu.
  • Drage LA; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Shamim H; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Bezalel SA; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Pittelkow MR; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.
  • Davis MDP; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Wang M; Department of Dermatology, University of California San Francisco, San Francisco, California.
  • Mangold AR; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.
  • Tollefson MM; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Lehman JS; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Meves A; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Yiannias JA; Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.
  • Otley CC; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Carter RE; Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida.
  • Sokumbi O; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Jacksonville, Florida; Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, Florida.
  • Hall MR; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Jacksonville, Florida.
  • Bridges AG; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Dermatology, Mayo Clinic, Rochester, Minnesota; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Murphree DH; Mayo Clinic Office of Artificial Intelligence in Dermatology, Rochester, Minnesota; Department of Health Sciences Research, Division of Digital Health Sciences, Mayo Clinic, Rochester, Minnesota.
J Am Acad Dermatol ; 87(6): 1352-1360, 2022 12.
Article en En | MEDLINE | ID: mdl-32428608
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Radiología / Aprendizaje Profundo Límite: Humans Idioma: En Revista: J Am Acad Dermatol Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Radiología / Aprendizaje Profundo Límite: Humans Idioma: En Revista: J Am Acad Dermatol Año: 2022 Tipo del documento: Article