The value of measuring uncertainty in neural networks in dermoscopy.

Van Molle, Pieter; Brochez, Lieve; Verbelen, Tim; De Boom, Cedric; Vankeirsbilck, Bert; Verhaeghe, Evelien; Mylle, Sofie; Simoens, Pieter; Dhoedt, Bart

Van Molle, Pieter; Brochez, Lieve; Verbelen, Tim; De Boom, Cedric; Vankeirsbilck, Bert; Verhaeghe, Evelien; Mylle, Sofie; Simoens, Pieter; Dhoedt, Bart.

Afiliação

Van Molle P; Department of Information Technology, IDLab, Ghent University - imec, Gent, Belgium. Electronic address: pieter.vanmolle@ugent.be.
Brochez L; Ghent University Hospital, Gent, Belgium.
Verbelen T; Department of Information Technology, IDLab, Ghent University - imec, Gent, Belgium.
De Boom C; Department of Information Technology, IDLab, Ghent University - imec, Gent, Belgium.
Vankeirsbilck B; Department of Information Technology, IDLab, Ghent University - imec, Gent, Belgium.
Verhaeghe E; Ghent University Hospital, Gent, Belgium.
Mylle S; Ghent University Hospital, Gent, Belgium.
Simoens P; Department of Information Technology, IDLab, Ghent University - imec, Gent, Belgium.
Dhoedt B; Department of Information Technology, IDLab, Ghent University - imec, Gent, Belgium.

J Am Acad Dermatol ; 87(5): 1191-1193, 2022 11.

Article em En | MEDLINE | ID: mdl-35276285

Assuntos

Melanoma; Neoplasias Cutâneas; Dermoscopia; Humanos; Redes Neurais de Computação; Incerteza

Palavras-chave

CNN; computer vision; deep learning; melanoma; neural networks; skin lesion classification; survey; uncertainty

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article