DCNet: Densely Connected Deep Convolutional Encoder-Decoder Network for Nasopharyngeal Carcinoma Segmentation.

Li, Yang; Han, Guanghui; Liu, Xiujian

Li, Yang; Han, Guanghui; Liu, Xiujian.

Affiliation

Li Y; School of Mathematics, Sun Yat-sen University, Guangzhou 510275, China.
Han G; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
Liu X; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.

Sensors (Basel) ; 21(23)2021 Nov 26.

Article in En | MEDLINE | ID: mdl-34883878

Subject(s)

Nasopharyngeal Neoplasms; Neural Networks, Computer; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Nasopharyngeal Carcinoma; Nasopharyngeal Neoplasms/diagnostic imaging

Key words

DenseNet; nasopharyngeal carcinoma segmentation; supervised learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nasopharyngeal Neoplasms / Neural Networks, Computer Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Type: Article Affiliation country: China

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