Computing-Inspired Detection of Multiple Cancers

Shi，Shaolong1,2,3; Chen，Yifan3,4; Yao，Xin2,5

10.1109/ICC.2018.8422666

2018-07-27

1550-3607

978-1-5386-3181-2

IEEE International Conference on Communications

2018-May

1-6

20-24 May 2018

Kansas City, MO, United states

345 E 47TH ST, NEW YORK, NY 10017 USA

Institute of Electrical and Electronics Engineers Inc.

A new computing-inspired multiple-cancer detection procedure (MCDP) is proposed. In the MCDP, the cancer areas to be detected can be regarded as solutions of an objective function, the tissue region around the cancer areas can be mapped to the parameter space of the solutions, and the nanorobots correspond to the agents in the optimization procedure. The process that the nanorobots look for the cancer areas by swimming in the tissue region can be mapped to the process that the agents search for the solutions in the parameter space. Niche Genetic Algorithm (NGA) is widely used in multimodal function optimization and non-monotonic function optimization. It can search all global optimums of multiple hump function in a running, keep the diversity of the population effectively, and avoid premature of solutions got from normal GA. Inspired by the optimization procedure of NGA, the multiple cancer detection procedure (MCDP) has been studied and the NGA-inspired cancer detection procedure has been proposed in order to locate the targets efficiently at the same time by taking into account realistic in vivo propagation and controlling of nanorobots. Finally, some comparative numerical examples are presented to demonstrate the effectiveness of the NGA-inspired MCDP.

Computing-inspired biodetection Contrast-enhanced medical imaging Nanorobots Natural computing Niche genetic algorithm Touchable computing

其他

英语

EI ; CPCI-S

Shenzhen Science and Technology Innovation Commission[ZDSYS201703031748284] ; Shenzhen Science and Technology Innovation Commission[JCYJ20160301113918121] ; Shenzhen Science and Technology Innovation Commission[JSGG20160427105120572] ; Shenzhen Science and Technology Innovation Commission[JCYJ20170307105521943] ; Shenzhen Science and Technology Innovation Commission[KQCX2015033110182368] ; [S2013050014223]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000519271303115

20183305704672

Genetic algorithms ; Medical imaging ; Nanorobotics ; Nanorobots ; Tissue

Biological Materials and Tissue Engineering:461.2 ; Robotics:731.5 ; Imaging Techniques:746

2-s2.0-85051442082

Scopus

1.Harbin Institute of Technology, ,Harbin,China
2.Shenzhen Key Laboratory of Computational Intelligence, Department of Computer Science and Engineering, Southern University of Science and Technology, ,Shenzhen,China
3.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, ,Shenzhen,China
4.University of Waikato, ,Hamilton,New Zealand
5.University of Birmingham, ,Birmingham,United Kingdom

Shi，Shaolong,Chen，Yifan,Yao，Xin. Computing-Inspired Detection of Multiple Cancers[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2018:1-6.