Multiclass classification of breast cancer histopathology images using multilevel features of deep convolutional neural network.

Hameed, Zabit; Garcia-Zapirain, Begonya; Aguirre, José Javier; Isaza-Ruget, Mario Arturo

Hameed, Zabit; Garcia-Zapirain, Begonya; Aguirre, José Javier; Isaza-Ruget, Mario Arturo.

Afiliação

Hameed Z; eVida Research Group, University of Deusto, Bilbao, 48007, Spain. zabithameed@deusto.es.
Garcia-Zapirain B; eVida Research Group, University of Deusto, Bilbao, 48007, Spain.
Aguirre JJ; Bioaraba Health Research Institute, Oncology Diagnostics and Therapeutics Area, Department of Pathological Anatomy, University Hospital of Alava, Vitoria, 01009, Spain.
Isaza-Ruget MA; NanoBioCel Research Group, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria, 01006, Spain.

Sci Rep ; 12(1): 15600, 2022 09 16.

Article em En | MEDLINE | ID: mdl-36114214

Assuntos

Neoplasias da Mama; Carcinoma in Situ; Carcinoma; Neoplasias da Mama/patologia; Amarelo de Eosina-(YS); Feminino; Hematoxilina; Humanos; Redes Neurais de Computação

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Carcinoma / Carcinoma in Situ Tipo de estudo: Prognostic_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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