[Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism].

Dong, Ting; Wei, Long; Ye, Xiaodan; Chen, Yang; Hou, Xuewen; Nie, Shengdong

Dong, Ting; Wei, Long; Ye, Xiaodan; Chen, Yang; Hou, Xuewen; Nie, Shengdong.

Afiliação

Dong T; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Wei L; School of Computer Science and Technology, Shandong Jianzhu University, JiNan 250101, P. R. China.
Ye X; Shanghai Chest Hospital, Shanghai 200030, P. R. China.
Chen Y; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Hou X; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Nie S; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 39(3): 441-451, 2022 Jun 25.

Article em Zh | MEDLINE | ID: mdl-35788513

Assuntos

Nódulos Pulmonares Múltiplos; Redes Neurais de Computação; Algoritmos; China; Progressão da Doença; Humanos; Tomografia Computadorizada por Raios X/métodos

Palavras-chave

Atrous convolution; Attention mechanism; Computed tomography image; Ground glass nodule segmentation; Residual network

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Nódulos Pulmonares Múltiplos Limite: Humans País/Região como assunto: Asia Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2022 Tipo de documento: Article

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