Publication Type : Journal Article
Publisher : SAGE Publications
Source : Journal of Intelligent & Fuzzy Systems
Url : https://doi.org/10.3233/jifs-179688
Campus : Amaravati
School : School of Computing
Department : Computer Science and Engineering
Year : 2020
Abstract : MRI image segmentation, a challenging task in medical diagnostics aids in extracting the summarized information of the anatomy of the human brain, thereby offering the potentiality for accurate treatment of the disease. The purpose of this work is to elevate the performances of different optimization techniques that are used in automated segmentation procedures. The performance of four algorithms was evaluated quantitatively over the genetic algorithm-based segmentation, which is the prevailing approach in automated segmentation. The upshot exhibits the accuracy and performance of various optimization techniques with a genetic algorithm.
Cite this Research Publication : P. Naga Srinivasu, T. Srinivasa Rao, Anca M. Dicu, Corina Anca Mnerie, Iustin Olariu, A comparative review of optimisation techniques in segmentation of brain MR images, Journal of Intelligent & Fuzzy Systems, SAGE Publications, 2020, https://doi.org/10.3233/jifs-179688