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For: Kalaiselvi T, Kumarashankar P, Sriramakrishnan P. Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique. J Digit Imaging 2020;33:465-79. [PMID: 31529237 DOI: 10.1007/s10278-019-00276-2] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Farnoosh R, Noushkaran H. Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images. J Digit Imaging 2022. [PMID: 35641677 DOI: 10.1007/s10278-022-00653-4] [Reference Citation Analysis]
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5 Bhima K, Neelakantappa M, Dasaradh Ramaiah K, Jagan A. Contemporary Technique for Detection of Brain Tumor in Fluid-Attenuated Inversion Recovery Magnetic Resonance Imaging (MRI) Images. Smart Intelligent Computing and Applications, Volume 2 2022. [DOI: 10.1007/978-981-16-9705-0_12] [Reference Citation Analysis]
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10 Bhima K, Jagan A. Development of Robust Framework for Automatic Segmentation of Brain MRI Images. Smart Computing Techniques and Applications 2021. [DOI: 10.1007/978-981-16-0878-0_51] [Reference Citation Analysis]
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12 Valsalan P, Sriramakrishnan P, Sridhar S, Latha GCP, Priya A, Ramkumar S, Singh AR, Rajendran T. Knowledge based fuzzy c-means method for rapid brain tissues segmentation of magnetic resonance imaging scans with CUDA enabled GPU machine. J Ambient Intell Human Comput. [DOI: 10.1007/s12652-020-02132-6] [Cited by in Crossref: 21] [Cited by in F6Publishing: 10] [Article Influence: 7.0] [Reference Citation Analysis]