题名 | CE-Net: Context Encoder Network for 2D Medical Image Segmentation |
作者 | |
通讯作者 | Cheng, Jun |
发表日期 | 2019-10
|
DOI | |
发表期刊 | |
ISSN | 1558-254X
|
卷号 | 38期号:10页码:2281-2292 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
重要成果 | ESI高被引
|
学校署名 | 其他
|
EI入藏号 | 20200207999882
|
EI主题词 | Blood vessels
; Biological organs
; Convolutional neural networks
; Deep learning
; Optical data processing
; Medical imaging
; Optical tomography
; Network coding
; Image segmentation
|
EI分类号 | 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
|
ESI学科分类 | CLINICAL MEDICINE
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8662594 |
引用统计 |
被引频次[WOS]:1452
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/42021 |
专题 | 工学院_计算机科学与工程系 |
作者单位 | 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 |
推荐引用方式 GB/T 7714 |
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.
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APA |
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.
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MLA |
Gu, Zaiwang,et al."CE-Net: Context Encoder Network for 2D Medical Image Segmentation".IEEE Transactions on Medical Imaging 38.10(2019):2281-2292.
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
CE-Net Context Encod(3063KB) | -- | -- | 限制开放 | -- |
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