StoneNet: An Efficient Lightweight Model Based on Depthwise Separable Convolutions for Kidney Stone Detection from CT Images.

Asif, Sohaib; Zhao, Ming; Chen, Xuehan; Zhu, Yusen

Asif, Sohaib; Zhao, Ming; Chen, Xuehan; Zhu, Yusen.

Afiliação

Asif S; School of Computer Science and Engineering, Central South University, Changsha, China.
Zhao M; School of Computer Science and Engineering, Central South University, Changsha, China. meanzhao@csu.edu.cn.
Chen X; School of Computer Science and Engineering, Central South University, Changsha, China. xuehan2013@csu.edu.cn.
Zhu Y; School of Mathematics, Hunan University, Changsha, China.

Interdiscip Sci ; 15(4): 633-652, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37452930

Palavras-chave

Deep learning; Depthwise separable convolution; Kidney stone detection; Lightweight convolutional neural networks; Transfer learning

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Interdiscip Sci Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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