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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19688
Article Published : 8087
Total Authors : 21392
Total Reviewer : 770
Total Countries : 147
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| Paper Title: | CLASSIFICATION OF BRAIN TUMOR FROM BRAIN MRI IMAGES USING SVM |
| Authors Name: | ANUSHREE ASHOKRAO WANKHADE , Dr. A. V. MALVIYA |
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IJRTI_180352
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| Published Paper Id: | IJRTI1809007 |
| Published In: | Volume 3 Issue 9, September-2018 |
| DOI: | |
| Abstract: | Brain tumor classification is an energetic analysis space in medical image process and pattern recognition. Tumor is associate abnormal mass of tissue within which some cells grow and multiply uncontrollably, apparently unregulated by the mechanisms that management traditional cells. The expansion of a growth takes up house inside the os and interferes with traditional brain activity. The detection of the growth is incredibly necessary in earlier stages. Automating this method could be a difficult task thanks to the high diversity within the look of growth tissues among totally different patients and in several cases similarity with the conventional tissues. This paper depicts a unique framework for neoplasm classification supported gray level co-ocurrance matrix(GLCM) applied mathematics options square measure extracted from the brain magnetic resonance imaging pictures, that signify the necessary texture options of growth tissue. |
| Keywords: | Brain, Magnetic resonance imaging, Support vector machine (SVM), LBPH, HOG, GLCM. |
| Cite Article: | "CLASSIFICATION OF BRAIN TUMOR FROM BRAIN MRI IMAGES USING SVM", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.41 - 49, September-2018, Available :http://www.ijrti.org/papers/IJRTI1809007.pdf |
| Downloads: | 000205098 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1809007
Registration ID:180352
Published In: Volume 3 Issue 9, September-2018
DOI (Digital Object Identifier):
Page No: 41 - 49 Country: AMRAVATI, MAHARASHTRA, INDIA Research Area: Biological Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1809007 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1809007 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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