Grey-Wolf-Based Wang's Demons for Retinal Image Registration.
Grey-Wolf-Based Wang's Demons for Retinal Image Registration.
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DOI:
10.3390/e22060659
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发表时间:
2020-06-15
期刊:
影响因子:
--
通讯作者:
Dey N
中科院分区:
文献类型:
--
作者:
Chakraborty S;Pradhan R;S Ashour A;Moraru L;Dey N
Image registration has an imperative role in medical imaging. In this work, a grey-wolf optimizer (GWO)-based non-rigid demons registration is proposed to support the retinal image registration process. A comparative study of the proposed GWO-based demons registration framework with cuckoo search, firefly algorithm, and particle swarm optimization-based demons registration is conducted. In addition, a comparative analysis of different demons registration methods, such as Wang’s demons, Tang’s demons, and Thirion’s demons which are optimized using the proposed GWO is carried out. The results established the superiority of the GWO-based framework which achieved 0.9977 correlation, and fast processing compared to the use of the other optimization algorithms. Moreover, GWO-based Wang’s demons performed better accuracy compared to the Tang’s demons and Thirion’s demons framework. It also achieved the best less registration error of 8.36 × 10−5.
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影响因子:
4.4
作者:
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通讯作者:
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影响因子:
3.2
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DOI:
10.1006/cbmr.1995.1020
发表时间:
1995-08-01
期刊:
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子:
--
作者:
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通讯作者:
KOZOUSEK, V
DOI:
10.1016/j.compmedimag.2016.06.006
发表时间:
2017-01-01
影响因子:
5.7
作者:
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通讯作者:
Argyros, Antonis A.