CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images.

Cao, Ruifen; Ning, Long; Zhou, Chao; Wei, Pijing; Ding, Yun; Tan, Dayu; Zheng, Chunhou

Cao, Ruifen; Ning, Long; Zhou, Chao; Wei, Pijing; Ding, Yun; Tan, Dayu; Zheng, Chunhou.

Afiliação

Cao R; Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei 230601, China.
Ning L; Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei 230601, China.
Zhou C; Institute of Energy, Hefei Comprehensive National Science Center, Hefei 230031, China.
Wei P; Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China.
Ding Y; Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei 230601, China.
Tan D; Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China.
Zheng C; Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei 230601, China.

Sensors (Basel) ; 23(21)2023 Oct 26.

Article em En | MEDLINE | ID: mdl-37960438

Assuntos

Sinais (Psicologia); Processamento de Imagem Assistida por Computador

Palavras-chave

attention mechanism; context feature fusion; convolution neural network; medical image segmentation

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Sinais (Psicologia) Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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