BIO INSPIRED OPTIMIZATION ALGORITHMS USING SOFT COMPUTING METHODS FOR MEDICAL IMAGE SEGMENTATIONS

Registration ID: IJNRD_188119

Published ID: IJNRD1805014

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C.N Ravi, Dr Ashutosh Verma

Bio-inspired, Particle Swarm Optimization, Medical image segmentation, Soft computing, Classification, Segmentation.

Bio-inspired optimization algorithm is a major research area in the fields of computational intelligence, soft computing, and optimization. Bio-inspired Algorithm (BIAs) has been successfully applied in many filed such as sciences, medical and engineering fields by the interest of researchers. Given the success of bio-inspired optimization algorithm methods and techniques in big data analysis applications, it is expected that they can also be successfully applied in healthcare . The evolving, dynamic and meta-heuristics nature of BIAs makes it more robust, accurate and efficient in solving image processing problems. However finding the appropriate BIAs that matches the problem at hand is a tedious and difficult task. The main idea of the proposed Exponential Particle Swarm Optimization algorithm is to prevent local solutions and find correct global optimal solutions for medical images segmentation task

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C.N Ravi & Dr Ashutosh Verma (May-2018). BIO INSPIRED OPTIMIZATION ALGORITHMS USING SOFT COMPUTING METHODS FOR MEDICAL IMAGE SEGMENTATIONS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 3(5), 67-74. https://ijnrd.org/papers/IJNRD1805014.pdf

Volume 3 Issue 5, May-2018

Pages : 67-74

Paper Reg. ID: IJNRD_188119

Published Paper Id: IJNRD1805014

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Research Area: Engineering

Author Type: Foreign Author

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Published Paper PDF: https://ijnrd.org/papers/IJNRD1805014.pdf

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