Automatic Medical Image Registration Based on an Integrated Method Combining Feature and Area Information-Reference-Cited by-同舟云学术

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Automatic Medical Image Registration Based on an Integrated Method Combining Feature and Area Information

Published:2018-03-06 Issue:1 Volume:49 Page:263-284
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Xie Jiucheng,Pun Chi-Man,Pan Zhaoqing,Gao Hao,Wang Baoyun

Funder

Research Committee of University of Macau

National Nature Science Foundation of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s11063-018-9808-6/fulltext.html

Reference49 articles.

1. Sotiras A, Davatzikos C, Paragios N (2013) Deformable medical image registration: a survey. IEEE Trans Med Imaging 32(7):1153–1190

2. Saha P, Strand R, Borgefors G (2015) Digital topology and geometry in medical imaging: a survey. IEEE Trans Med Imaging 34(9):1940–1964

3. Zhou Z, Yang C, Chen B et al (2016) Effective and efficient image copy detection with resistance to arbitrary rotation. IEICE Tran Inf Syst 99(6):1531–1540

4. Termenon M, Graña M (2013) Extreme learning machines for feature selection and classification of cocaine dependent patients on structural MRI data. Neural Process Lett 38:375–387

5. Lu Y, Sun Y, Liao R et al (2014) A pre-operative CT and non-contrast-enhanced C-arm CT registration framework for trans-catheter aortic valve implantation. Comput Med Imaging Graph 38(8):683–695

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