Your browser doesn't support javascript.
loading
The application of artificial intelligence in the detection of basal cell carcinoma: A systematic review.
Widaatalla, Y; Wolswijk, T; Adan, F; Hillen, L M; Woodruff, H C; Halilaj, I; Ibrahim, A; Lambin, P; Mosterd, K.
Afiliação
  • Widaatalla Y; The D-Lab, Department of Precision Medicine, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Wolswijk T; Department of Dermatology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Adan F; Department of Dermatology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Hillen LM; Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Woodruff HC; The D-Lab, Department of Precision Medicine, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Halilaj I; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Ibrahim A; The D-Lab, Department of Precision Medicine, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Lambin P; Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA.
  • Mosterd K; The D-Lab, Department of Precision Medicine, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
J Eur Acad Dermatol Venereol ; 37(6): 1160-1167, 2023 Jun.
Article em En | MEDLINE | ID: mdl-36785993
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Carcinoma Basocelular Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Eur Acad Dermatol Venereol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Carcinoma Basocelular Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Eur Acad Dermatol Venereol Ano de publicação: 2023 Tipo de documento: Article