Attention-augmented U-Net (AA-U-Net) for semantic segmentation.

Rajamani, Kumar T; Rani, Priya; Siebert, Hanna; ElagiriRamalingam, Rajkumar; Heinrich, Mattias P

Rajamani, Kumar T; Rani, Priya; Siebert, Hanna; ElagiriRamalingam, Rajkumar; Heinrich, Mattias P.

Afiliação

Rajamani KT; Philips Research, Bangalore, India.
Rani P; Applied Artificial Intelligence Institute, Deakin University, Burwood, VIC 3125 Australia.
Siebert H; Institute of Medical Informatics, University of Lübeck, Luebeck, Germany.
ElagiriRamalingam R; Apex Semiconductors, Bangalore, India.
Heinrich MP; Institute of Medical Informatics, University of Lübeck, Luebeck, Germany.

Signal Image Video Process ; 17(4): 981-989, 2023.

Article em En | MEDLINE | ID: mdl-35910403

Palavras-chave

Attention mechanism; Attention-augmented convolution; COVID-19; Consolidation; Ground-glass opacities; Segmentation; U-Net

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Signal Image Video Process Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google