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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
TUMOR DETECTION AND SEGMENTATION IN BRAIN USING GENETIC ALGORITHM
Authors
S.VIJAYALAKSHMI
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Keywords
Brain Tumor, MRI Image, Segmentation, Genetic Algorithm, Classification
Abstract
Diseased growth (in body) is getting greater of the body part, generally without any greater in size, red, hot, painful state that happens because of, in relation to not normal growth of units in that place of the body. Brain diseased growth (in body) is hard to work out at first stage. The diseased growth (in body) is worked out by Magnetic resonance imaging (MRI) and depending on it; the diseased growths (in body) are noted into different grades of seriousness. In early an a shut hand based diseased growth (in body) discovery way in is offered to diseased growth (in body) working out at first stage but it is not give better answer. In medical image processing, fully automatic brain diseased growth (in body) breaking down into parts has a full of force part in segmenting brain image more accurately and through details. breaking down into parts is the process to do these tasks by making separate an image into purposeful parts which statement of part-owner like properties. Magnetic resonance imaging (MRI) is a first diagnostic way of doing to do image breaking down into parts. It is hard because of, in relation to poor in comparison and things that outcome in lost or having wide distribution organ/tissue division lines. firstly, this paper gives a detailed account of the handed down from father, mother and so on algorithms, natural development process In the first stage, the brain image is gotten from persons getting care knowledge-base in which image breaking down into parts careful way which is representatively used to give position of things and boundaries in images is put to use. After that cooing into groups is sent in name for and then handed down from father, mother and so on algorithm is introduced in company with different stages. handed down from father, mother and so on operation like Selection, crossover and change in structure are done on this came into groups image to produce needed outcomes. There are number of moves near to discover the diseased growth (in body) over the brain images but it shows the adjustment of the handed down from father, mother and so on algorithm.
IJCRT's Publication Details
Unique Identification Number - IJCRT1892505
Paper ID - 188457
Author type - Indian Author
Page Number(s) - 86-91
Pubished in - Volume 6 | Issue 2 | APRIL 2018
DOI (Digital Object Identifier) -
No Of Downloads - 1125
Author Country - 624005, India, DINDIGUL, DINDIGUL, India, Science & Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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S.VIJAYALAKSHMI, "TUMOR DETECTION AND SEGMENTATION IN BRAIN USING GENETIC ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.86-91, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1892505.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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