题名 | Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization |
作者 | |
通讯作者 | Chen, Yifan |
发表日期 | 2019-07
|
DOI | |
发表期刊 | |
ISSN | 1558-2639
|
卷号 | 18期号:3页码:498-509 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
学校署名 | 其他
|
EI入藏号 | 20192807160448
|
EI主题词 | Medical imaging
; Nanomagnetics
; Diagnosis
; Global optimization
; Nanoparticles
; Nanosystems
; Gradient methods
|
EI分类号 | Biomedical Engineering:461.1
; Biological Materials and Tissue Engineering:461.2
; Medicine and Pharmacology:461.6
; Magnetism: Basic Concepts and Phenomena:701.2
; Imaging Techniques:746
; Nanotechnology:761
; Optimization Techniques:921.5
; Numerical Methods:921.6
; Solid State Physics:933
|
ESI学科分类 | BIOLOGY & BIOCHEMISTRY
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8723194 |
引用统计 |
被引频次[WOS]:19
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/25631 |
专题 | 工学院_计算机科学与工程系 工学院_机械与能源工程系 |
作者单位 | 1.Univ Waikato, Div Hlth Engn Comp & Sci, Hamilton 3240, New Zealand 2.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu 611731, Sichuan, Peoples R China 3.Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150006, Heilongjiang, Peoples R China 4.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China 5.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China |
推荐引用方式 GB/T 7714 |
Chen, Yifan,Ali, Muhammad,Shi, Shaolong,et al. Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization[J]. IEEE Transactions on NanoBioscience,2019,18(3):498-509.
|
APA |
Chen, Yifan,Ali, Muhammad,Shi, Shaolong,&Cheang, U Kei.(2019).Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization.IEEE Transactions on NanoBioscience,18(3),498-509.
|
MLA |
Chen, Yifan,et al."Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization".IEEE Transactions on NanoBioscience 18.3(2019):498-509.
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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 | |
Chen et al. - 2019 -(2200KB) | -- | -- | 限制开放 | -- |
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