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Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?
Mar, V J; Soyer, H P.
Affiliation
  • Mar VJ; Victorian Melanoma Service, Alfred Hospital, Melbourne; School of Public Health and Preventive Medicine, Monash University, Clayton; Skin and Cancer Foundation Inc. Melbourne.
  • Soyer HP; Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane; Dermatology Department, Princess Alexandra Hospital, Brisbane, Australia. Electronic address: p.soyer@uq.edu.au.
Ann Oncol ; 30(12): e1-e3, 2019 12 01.
Article in En | MEDLINE | ID: mdl-29790922

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Melanoma Type of study: Diagnostic_studies Limits: Humans / Male Language: En Journal: Ann Oncol Journal subject: NEOPLASIAS Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Melanoma Type of study: Diagnostic_studies Limits: Humans / Male Language: En Journal: Ann Oncol Journal subject: NEOPLASIAS Year: 2019 Document type: Article