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[Research progress of multi-model medical image fusion and recognition].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Oct; 30(5):1117-22.SW

Abstract

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.

Authors+Show Affiliations

Zhou T
School of Science, Ningxia Medical University, Yinchuan 750004, China.
Lu H
School of Science, Ningxia Medical University, Yinchuan 750004, China.
Chen Z
Department of Radiology, the Affiliated General Hospital of Ningria Medical University, Yinchuan 750004, China.
Ma J
School of Science, Ningxia Medical University, Yinchuan 750004, China.

MeSH

AlgorithmsArtificial IntelligenceDiagnostic ImagingImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingPattern Recognition, AutomatedPositron-Emission TomographyTomography, X-Ray Computed

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't
Review

Language

chi

PubMed ID

24459981

Citation

Zhou, Tao, et al. "[Research Progress of Multi-model Medical Image Fusion and Recognition]." Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, vol. 30, no. 5, 2013, pp. 1117-22.
Zhou T, Lu H, Chen Z, et al. [Research progress of multi-model medical image fusion and recognition]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013;30(5):1117-22.
Zhou, T., Lu, H., Chen, Z., & Ma, J. (2013). [Research progress of multi-model medical image fusion and recognition]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 30(5), 1117-22.
Zhou T, et al. [Research Progress of Multi-model Medical Image Fusion and Recognition]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013;30(5):1117-22. PubMed PMID: 24459981.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Research progress of multi-model medical image fusion and recognition]. AU - Zhou,Tao, AU - Lu,Huiling, AU - Chen,Zhiqiang, AU - Ma,Jingxian, PY - 2014/1/28/entrez PY - 2014/1/28/pubmed PY - 2014/12/15/medline SP - 1117 EP - 22 JF - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi JO - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi VL - 30 IS - 5 N2 - 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. SN - 1001-5515 UR - https://www.unboundmedicine.com/medline/citation/24459981/[Research_progress_of_multi_model_medical_image_fusion_and_recognition]_ DB - PRIME DP - Unbound Medicine ER -