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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 9 | Month- September 2026
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Paper Title
A HYBRID BIO INSPIRED PSO-ACO TECHNIQUE USING KNN FOR DETECTION OF BRAIN TUMOR
Authors
Anita Devi
Keywords
Brain MRI images, Clustering, Region growing, Thresholding, Tumor segmentation.
Abstract
Magnetic Resonance Imaging scan produce detailed study of the internal structure of human brain and other parts of the body. Brain tumor segmentation from brain MRI image is a very remarkable task. A large number of techniques have been proposed for the automatic brain tumor detection and segmentation from the brain MRI images and scans. In this paper, the existing brain tumor detection and segmentation techniques for brain MRI images have been discussed for the Comparative study of particle swarm optimization based clustering techniques for detection of brain tumor in MRI images.The Brain tumor segmentation are the different tissues for active cells and edema from normal brain tissues of White Matter,Gray Matter.MRI based brain tumor segmentation studies are attraction and attention in latest years due to non-invasive imaging and good soft tissue contrast of Magnetic Resonance Imaging (MRI) images.
IJCRT's Publication Details
Unique Identification Number - IJCRT1892509
Paper ID - 188247
Page Number(s) - 112-117
Pubished in - Volume 6 | Issue 2 | APRIL 2018
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Anita Devi, "A HYBRID BIO INSPIRED PSO-ACO TECHNIQUE USING KNN FOR DETECTION OF BRAIN TUMOR ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.112-117, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1892509.pdf
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Volume 14 | Issue 9
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Volume 14 | Issue 9
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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