CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Gu, Zaiwang1,2; Cheng, Jun2; Fu, Huazhu3,4; Zhou, Kang5; Hao, Huaying2; Zhao, Yitian2; Zhang, Tianyang2; Gao, Shenghua5; Liu, Jiang2,6

2019-10

10.1109/TMI.2019.2903562

IEEE Transactions on Medical Imaging   Impact Factor & Quartile

1558-254X

Medical image segmentation deep learning context encoder network

SCI ; EI

Others

20200207999882

Blood vessels ; Biological organs ; Convolutional neural networks ; Deep learning ; Optical data processing ; Medical imaging ; Optical tomography ; Network coding ; Image segmentation

Biomedical Engineering:461.1 ; Biological Materials and Tissue Engineering:461.2 ; Ergonomics and Human Factors Engineering:461.4 ; Information Theory and Signal Processing:716.1 ; Data Processing and Image Processing:723.2 ; Optical Devices and Systems:741.3 ; Imaging Techniques:746

IEEE

1.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
2.Chinese Acad Sci, Cixi Inst Biomed Engn, Ningbo 315201, Zhejiang, Peoples R China
3.Incept Inst Artificial Intelligence, Abu Dhabi, U Arab Emirates
4.Agcy Sci Technol & Res, Inst Infocomm Res, Singapore 138632, Singapore
5.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
6.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China

Gu, Zaiwang,Cheng, Jun,Fu, Huazhu,et al. CE-Net: Context Encoder Network for 2D Medical Image Segmentation[J]. IEEE Transactions on Medical Imaging,2019,38(10):2281-2292.

Gu, Zaiwang.,Cheng, Jun.,Fu, Huazhu.,Zhou, Kang.,Hao, Huaying.,...&Liu, Jiang.(2019).CE-Net: Context Encoder Network for 2D Medical Image Segmentation.IEEE Transactions on Medical Imaging,38(10),2281-2292.

Gu, Zaiwang,et al."CE-Net: Context Encoder Network for 2D Medical Image Segmentation".IEEE Transactions on Medical Imaging 38.10(2019):2281-2292.