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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title:	The Research Assessment Study On Brain Tumor Detection and Classification From MRI Imaging Test
Authors Name:	Megha H C
Unique Id:	IJSDR2005094
Published In:	Volume 5 Issue 5, May-2020
Abstract:	Good health is important to all of our everyday lives. One of the most important things that we humans have is the brain. The brain is the nervous system most complex organ. It carries in our world's every thought; action, memory, feeling and experience. Many psychologists believe that the human brain is essentially a result of birth-to-death experiences. Today’s world, damage the lifestyle of people via a hectic schedule. Often, it affects various brain structures and functions. The biggest challenge facing the medical profession is cancer. Early cancer detection dramatically improves chances of successful treatment. A brain tumor is a mass that develops inside the brain, or around the brain. The most widely used CT-, MRI-, PET image scan to see if the patient has brain tumor. These medical imaging provide information about tumor part in brain. Then, Using MRI imaging scans to identify brain tumors of patients in early stage of tumor. Medical image processing offers basic knowledge about the tumor c
Keywords:	Image processing; MRI; Brain tumor; Segmentation; Classification; Deep learning; SVM; K-means; CNN; KNN; Machine learning
Cite Article:	"The Research Assessment Study On Brain Tumor Detection and Classification From MRI Imaging Test", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.575 - 580, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005094.pdf
Downloads:	000337070
Publication Details:	Published Paper ID: IJSDR2005094 Registration ID:191865 Published In: Volume 5 Issue 5, May-2020 DOI (Digital Object Identifier): Page No: 575 - 580 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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