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November 2022 Issue Vol.12 No.11
IMPLEMENTATION OF INSTINCTIVE BRAIN TUMOR SEGMENTATION AND DETECTION USING MAGNETIC RESONANCE IMAGE
https://ia904700.us.archive.org/28/items/ijitce-november-2022/vol12no1101.pdf
Dr. K. Selvanayaki
Assistant Professor, School of Computer Science,
VET Institute of Arts and Science (Co-edu) College,Erode , Tamil Nadu, India
Dr. K.S.Mohanasathiya
Assistant Professor, School of Computer Science,
VET Institute of Arts and Science (Co-edu) College,Erode , Tamil Nadu, India
Dr. S. Prasath
Assistant Professor, School of Computer Science,
VET Institute of Arts and Science (Co-edu) College,Erode , Tamil Nadu, India
Abstract:
Developments in medical imaging technology unremittingly recover the transport of healthcare to patients. Given rising
healthcare costs and the need to responsibly steward financial resources, this paper highlights scientific, peer-reviewed studies
that validate improved patient outcomes and cost savings associated with various imaging technologies. This review builds upon
previous research conducted in past decade with an additional focus on cost-effectiveness evaluations. A comprehensive search
methodology was used to critically estimate publications from the past 2 decade in health indexed in the U.S. National Library of
Medicine (MEDLINE) and from leading health policy reviews.
Keywords: Brain Tumor, Magnetic Resonance Image (MRI), Image Acquisition, Preprocessing,Enhancement, Segmentation, Ant Colony Optimization
(ACO), Particle Swarm Optimization (PSO)
