G. K. Jakir Hussain and K. S. Tamilselvan, Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India
R. Tamilanban, Department of Radiology, Q-Scans Quality Scan Centre, India
M. Vinoth Saravanan, Department of Radiodiagnosis, Mahatma Gandhi Medical College and Research Institute, India
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :407-410
Abstract
The multimodal image fusion is the process of combining relevant information from multiple imaging modalities. A fused image which contains recovering description than the one provided by any image fusion techniques are most widely used for real-world applications like agriculture, robotics and informatics, aeronautical, military, medical, pedestrian detection, etc. We try to give an outline of multimodal medical image fusion methods, developed during the period of time. The fusion of medical images in many combinations assists in utilizing it for medical diagnostics and examination. There is an incredible progress within the fields of deep learning, AI and bio-inspired optimization techniques. Effective utilization of these techniques is often used to further improve the effectiveness of image fusion algorithms
Keywords
multimodal, fusion, modalities, medical
Cite this article
G. K. Jakir Hussain, K. S. Tamilselvan, R. Tamilanban and M. Vinoth Saravanan, “A Comprehensive Review of Multimodal Medical Image Fusion Techniques”, Innovations in Information and Communication Technology, pp. 407-410, December 2020.
Copyright
© 2020 G. K. Jakir Hussain, K. S. Tamilselvan, R. Tamilanban and M. Vinoth Saravanan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
