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Deep learning for dermatologists: Part I. Fundamental concepts.
Murphree, Dennis H; Puri, Pranav; Shamim, Huma; Bezalel, Spencer A; Drage, Lisa A; Wang, Michael; Pittelkow, Mark R; Carter, Rickey E; Davis, Mark D P; Bridges, Alina G; Mangold, Aaron R; Yiannias, James A; Tollefson, Megha M; Lehman, Julia S; Meves, Alexander; Otley, Clark C; Sokumbi, Olayemi; Hall, Matthew R; Comfere, Nneka.
Afiliação
  • Murphree DH; Department of Health Sciences Research, Division of Digital Health Sciences, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Office of Artificial Intelligence in Dermatology. Electronic address: murphree.dennis@mayo.edu.
  • Puri P; Mayo Clinic Office of Artificial Intelligence in Dermatology; Mayo Clinic Alix School of Medicine, Scottsdale, Arizona.
  • Shamim H; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Bezalel SA; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Drage LA; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Wang M; Department of Dermatology, University of California San Francisco, San Francisco, California.
  • Pittelkow MR; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.
  • Carter RE; Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida.
  • Davis MDP; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Bridges AG; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Mangold AR; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.
  • Yiannias JA; Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.
  • Tollefson MM; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Lehman JS; Mayo Clinic Office of Artificial Intelligence in Dermatology; 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; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Otley CC; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota.
  • Sokumbi O; Mayo Clinic Office of Artificial Intelligence in Dermatology; 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; Department of Dermatology, Mayo Clinic, Jacksonville, Florida.
  • Comfere N; Mayo Clinic Office of Artificial Intelligence in Dermatology; Department of Dermatology, Mayo Clinic, Rochester, Minnesota; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
J Am Acad Dermatol ; 87(6): 1343-1351, 2022 12.
Article em En | MEDLINE | ID: mdl-32434009
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Aprendizado Profundo Limite: Humans Idioma: En Revista: J Am Acad Dermatol Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Aprendizado Profundo Limite: Humans Idioma: En Revista: J Am Acad Dermatol Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos