Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks.

Schaap, M J; Cardozo, N J; Patel, A; de Jong, E M G J; van Ginneken, B; Seyger, M M B

Schaap, M J; Cardozo, N J; Patel, A; de Jong, E M G J; van Ginneken, B; Seyger, M M B.

Afiliação

Schaap MJ; Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands.
Cardozo NJ; Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands.
Patel A; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
de Jong EMGJ; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
van Ginneken B; Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands.
Seyger MMB; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

J Eur Acad Dermatol Venereol ; 36(1): 68-75, 2022 Jan.

Article em En | MEDLINE | ID: mdl-34653265

Assuntos

Psoríase; Algoritmos; Humanos; Redes Neurais de Computação; Psoríase/diagnóstico por imagem; Estudos Retrospectivos; Índice de Gravidade de Doença

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psoríase Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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