Performance Optimization of Image Registration Frameworks-Reference-Cited by-同舟云学术

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Performance Optimization of Image Registration Frameworks

Published:2024-04-25 Issue: Volume:30 Page:1-6
ISSN:
Container-title:2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
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Author:

Roy Abhisek¹,Roy Pranab Kanti²,Mitra Anirban³,Chakraborty Sayan⁴,Bhattacharya Pronaya³

Affiliation:

1. Seacom Skills University,Dept. of Information Technology,Bolpur,West Bengal,India

2. Seacom Skills University,School of Engineering,Bolpur,West Bengal,India

3. Amity University,Dept. of Computer Sc. & Engineering,Kolkata,West Bengal,India

4. Techno International New Town,Dept. of Computer Sc. & Engineering,Kolkata,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574857/10574907/10575616.pdf?arnumber=10575616

Reference32 articles.

1. Optimizing a medical image registration algorithm based on profiling data for real-time performance

2. An image registration approach using genetic algorithms

3. Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms

4. Gradient-based genetic algorithms in image registration

5. Multimodality Medical Image Registration and Fusion Techniques Using Mutual Information and Genetic Algorithm-Based Approaches

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