A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion

被引:10
作者
Diwakar, Manoj [1 ]
Singh, Prabhishek [2 ]
Ravi, Vinayakumar [3 ]
Maurya, Ankur [2 ]
机构
[1] Graph Era Deemed Univ, Dept CSE, Dehra Dun 248002, India
[2] Bennett Univ, Sch Comp Sci Engn & Technol, Greater Noida 201310, India
[3] Prince Mohammad Bin Fahd Univ, Ctr Artificial Intelligence, Khobar 34754, Saudi Arabia
基金
英国科研创新办公室;
关键词
multi-modality; wavelet transform; image fusion; edge detection; texture detection; NETWORK; TRANSFORM; ATTENTION; MODEL;
D O I
10.3390/diagnostics13050820
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Today, medical images play a crucial role in obtaining relevant medical information for clinical purposes. However, the quality of medical images must be analyzed and improved. Various factors affect the quality of medical images at the time of medical image reconstruction. To obtain the most clinically relevant information, multi-modality-based image fusion is beneficial. Nevertheless, numerous multi-modality-based image fusion techniques are present in the literature. Each method has its assumptions, merits, and barriers. This paper critically analyses some sizable non-conventional work within multi-modality-based image fusion. Often, researchers seek help in apprehending multi-modality-based image fusion and choosing an appropriate multi-modality-based image fusion approach; this is unique to their cause. Hence, this paper briefly introduces multi-modality-based image fusion and non-conventional methods of multi-modality-based image fusion. This paper also signifies the merits and downsides of multi-modality-based image fusion.
引用
收藏
页数:21
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