Deep learning in computational dermatopathology of melanoma: A technical systematic literature review.

Sauter, Daniel; Lodde, Georg; Nensa, Felix; Schadendorf, Dirk; Livingstone, Elisabeth; Kukuk, Markus

Sauter, Daniel; Lodde, Georg; Nensa, Felix; Schadendorf, Dirk; Livingstone, Elisabeth; Kukuk, Markus.

Afiliação

Sauter D; Department of Computer Science, Fachhochschule Dortmund, 44227 Dortmund, Germany. Electronic address: daniel.sauter@fh-dortmund.de.
Lodde G; Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
Nensa F; Institute for AI in Medicine (IKIM), University Hospital Essen, 45131 Essen, Germany; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, 45147 Essen, Germany.
Schadendorf D; Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
Livingstone E; Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
Kukuk M; Department of Computer Science, Fachhochschule Dortmund, 44227 Dortmund, Germany.

Comput Biol Med ; 163: 107083, 2023 09.

Article em En | MEDLINE | ID: mdl-37315382

Assuntos

Aprendizado Profundo; Melanoma; Humanos

Palavras-chave

Machine learning; Neural network; Survey; Systematic review; Whole slide imaging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Melanoma Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2023 Tipo de documento: Article

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