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Improving Artificial Intelligence-Based Diagnosis on Pediatric Skin Lesions.
Mehta, Paras P; Sun, Mary; Betz-Stablein, Brigid; Halpern, Allan; Soyer, H Peter; Weber, Jochen; Kose, Kivanc; Rotemberg, Veronica.
Affiliation
  • Mehta PP; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: pmehta2016@gmail.com.
  • Sun M; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Betz-Stablein B; Dermatology Research Centre, The University of Queensland Diamantina Institute, Brisbane, Australia.
  • Halpern A; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Soyer HP; Dermatology Research Centre, The University of Queensland Diamantina Institute, Brisbane, Australia.
  • Weber J; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Kose K; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Rotemberg V; Division of Dermatology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
J Invest Dermatol ; 143(8): 1423-1429.e1, 2023 08.
Article in En | MEDLINE | ID: mdl-36804150

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Skin Neoplasms / Melanoma Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Child / Humans Language: En Journal: J Invest Dermatol Year: 2023 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Skin Neoplasms / Melanoma Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Child / Humans Language: En Journal: J Invest Dermatol Year: 2023 Document type: Article Country of publication: United States