Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images.

Vu, Quoc Dang; Rajpoot, Kashif; Raza, Shan E Ahmed; Rajpoot, Nasir

Vu, Quoc Dang; Rajpoot, Kashif; Raza, Shan E Ahmed; Rajpoot, Nasir.

Afiliação

Vu QD; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, UK.
Rajpoot K; School of Computer Science, University of Birmingham, UK.
Raza SEA; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, UK.
Rajpoot N; Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, UK; The Alan Turing Institute, London, UK; Department of Pathology, University Hospitals Coventry & Warwickshire, UK. Electronic address: n.m.rajpoot@warwick.ac.uk.

Med Image Anal ; 85: 102743, 2023 04.

Article em En | MEDLINE | ID: mdl-36702037

Assuntos

Histologia; Redes Neurais de Computação; Humanos; Histologia/instrumentação

Palavras-chave

Computational pathology; Deep learning; Transformer; Unsupervised learning; WSI representation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Histologia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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