Research progress of multi-model medical image fusion and recognition

Medical image fusion and recognition has a wide range of applications, such as focal location, cancer staging and treatment effect assessment. Multi-model medical image fusion and recognition are analyzed and summarized in this paper. Firstly, the question of multi-model medical image fusion and rec...

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Published inSheng wu yi xue gong cheng xue za zhi Vol. 30; no. 5; p. 1117
Main Authors Zhou, Tao, Lu, Huiling, Chen, Zhiqiang, Ma, Jingxian
Format Journal Article
LanguageChinese
Published China 01.10.2013
Subjects
Algorithms
Artificial Intelligence
Diagnostic Imaging - methods
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging - methods
Pattern Recognition, Automated - methods
Positron-Emission Tomography - methods
Tomography, X-Ray Computed - methods
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Summary:Medical image fusion and recognition has a wide range of applications, such as focal location, cancer staging and treatment effect assessment. Multi-model medical image fusion and recognition are analyzed and summarized in this paper. Firstly, the question of multi-model medical image fusion and recognition is discussed, and its advantage and key steps are discussed. Secondly, three fusion strategies are reviewed from the point of algorithm, and four fusion recognition structures are discussed. Thirdly, difficulties, challenges and possible future research direction are discussed.
ISSN:1001-5515