The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility.

Khan, Umair; Koivukoski, Sonja; Valkonen, Mira; Latonen, Leena; Ruusuvuori, Pekka

Khan, Umair; Koivukoski, Sonja; Valkonen, Mira; Latonen, Leena; Ruusuvuori, Pekka.

Afiliação

Khan U; University of Turku, Institute of Biomedicine, Turku 20014, Finland.
Koivukoski S; University of Eastern Finland, Institute of Biomedicine, Kuopio 70211, Finland.
Valkonen M; Tampere University, Faculty of Medicine and Health Technology, Tampere 33100, Finland.
Latonen L; University of Eastern Finland, Institute of Biomedicine, Kuopio 70211, Finland.
Ruusuvuori P; Foundation for the Finnish Cancer Institute, Helsinki 00290, Finland.

Patterns (N Y) ; 4(5): 100725, 2023 May 12.

Article em En | MEDLINE | ID: mdl-37223268

Palavras-chave

H&E staining; deep learning; digital pathology; generative AI; generative adversarial networks; histological evaluation; label-free microscopy; unstained histology; unstained tissue imaging; virtual staining

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article