Predictive Analytics and Retrieval Using Mri-A Recent Retrospective

Authors

  • Jasmine RA Department of Computer Science and Engineering, Manonmaniam Sundaranar University
  • Rani PAJ Department of Computer Science and Engineering, Manonmaniam Sundaranar University
  • Sharmila DJ Department of Computer Applications,St.Jhons College,Amandivilai

DOI:

https://doi.org/10.26438/ijcse/v6i5.878886

Keywords:

MRI Retrieval, Feature Extraction, Classification, Tumor Detection

Abstract

Research in MRI is gaining attention for tumor detection, classification, retrieval which it is critical for diagnosis, surgical planning and treatment. Several techniques are proposed to address this challenge and none of the solution is yet perfect. The accuracy of the system is improved using pre-processing, determined in feature extraction, evaluated in classification and retrieval techniques. Segmentation techniques are used to extract the tumor for feature extraction. As the tumor characteristic differs on various types, different spatial, wavelet, model based techniques are adapted to capture the unique features. The objective of this paper is to present a comprehensive overview of different methods, their efficacy on predictive analytics and retrieval.

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Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6i5.878886
Published: 2025-11-13

How to Cite

[1]
R. A. Jasmine, P. A. J. Rani, and D. Sharmila, “Predictive Analytics and Retrieval Using Mri-A Recent Retrospective”, Int. J. Comp. Sci. Eng., vol. 6, no. 5, pp. 878–887, Nov. 2025.

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Section

Review Article