A Review of Multimodal Medical Image Fusion Techniques
Joint Authors
Zhong, Cheng
Huang, Bing
Yang, Feng
Yin, Mengxiao
Mo, Xiaoying
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-23
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of information for increasing the clinical applicability of medical images.
In this paper, we attempt to give an overview of multimodal medical image fusion methods, putting emphasis on the most recent advances in the domain based on (1) the current fusion methods, including based on deep learning, (2) imaging modalities of medical image fusion, and (3) performance analysis of medical image fusion on mainly data set.
Finally, the conclusion of this paper is that the current multimodal medical image fusion research results are more significant and the development trend is on the rise but with many challenges in the research field.
American Psychological Association (APA)
Huang, Bing& Yang, Feng& Yin, Mengxiao& Mo, Xiaoying& Zhong, Cheng. 2020. A Review of Multimodal Medical Image Fusion Techniques. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1139606
Modern Language Association (MLA)
Huang, Bing…[et al.]. A Review of Multimodal Medical Image Fusion Techniques. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1139606
American Medical Association (AMA)
Huang, Bing& Yang, Feng& Yin, Mengxiao& Mo, Xiaoying& Zhong, Cheng. A Review of Multimodal Medical Image Fusion Techniques. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1139606
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139606