Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains.

Duanmu, Hongyi; Bhattarai, Shristi; Li, Hongxiao; Cheng, Chia Cheng; Wang, Fusheng; Teodoro, George; Janssen, Emiel A M; Gogineni, Keerthi; Subhedar, Preeti; Aneja, Ritu; Kong, Jun

Duanmu, Hongyi; Bhattarai, Shristi; Li, Hongxiao; Cheng, Chia Cheng; Wang, Fusheng; Teodoro, George; Janssen, Emiel A M; Gogineni, Keerthi; Subhedar, Preeti; Aneja, Ritu; Kong, Jun.

Afiliação

Duanmu H; Stony Brook University, Stony Brook, NY 11794, USA.
Bhattarai S; Georgia State University, Atlanta, GA 30302, USA.
Li H; Georgia State University, Atlanta, GA 30302, USA.
Cheng CC; Stony Brook University, Stony Brook, NY 11794, USA.
Wang F; Stony Brook University, Stony Brook, NY 11794, USA.
Teodoro G; Federal University of Minas Gerais, Belo Horizonte 31270-010, Brazil.
Janssen EAM; Department of Pathology, Stavanger University Hospital, Stavanger, Norway.
Gogineni K; Emory University, Atlanta, GA 30322, USA.
Subhedar P; Emory University, Atlanta, GA 30322, USA.
Aneja R; Georgia State University, Atlanta, GA 30302, USA.
Kong J; Georgia State University, Atlanta, GA 30302, USA.

Med Image Comput Comput Assist Interv ; 12908: 550-560, 2021.

Article em En | MEDLINE | ID: mdl-36222817

Palavras-chave

Breast cancer; Convolutional neural network; Pathological complete response; Serial pathology images; Spatial attention

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article