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A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections.
Campanella, Gabriele; Nehal, Kishwer S; Lee, Erica H; Rossi, Anthony; Possum, Brandon; Manuel, Genna; Fuchs, Thomas J; Busam, Klaus J.
Afiliación
  • Campanella G; Weill Cornell Graduate School of Medical Sciences, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Nehal KS; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Lee EH; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Rossi A; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Possum B; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Manuel G; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Fuchs TJ; Weill Cornell Graduate School of Medical Sciences, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Busam KJ; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: busamk@mskc.org.
J Am Acad Dermatol ; 85(5): 1285-1286, 2021 11.
Article en En | MEDLINE | ID: mdl-32926979

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Carcinoma Basocelular / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Acad Dermatol Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Carcinoma Basocelular / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Acad Dermatol Año: 2021 Tipo del documento: Article