IDENTIFICATION OF BRAIN TUMOR AND CLASSIFYING INTO HIGH GRADE AND LOW GRADE GLIOMA
Mrs.K.Yashoda
, E.Mounika , G.Sahitya , K.Eswar Venkat , K.Venkatesh
HGG, LGG, Brain tumor, MRI, K- means, DCT, SVM
Tumors which outset in the glial cells are called gliomas. Tumors may be low grade(leisurely growing)or high grade(rapid growing). Doctors decide treatment based on the type of gliomas. The main problem in MRI scanning is that tumor cannot be detected easily in initial stage. In this project ,a well equipped system is used to differentiate normal brain and abnormal brain. It classifies abnormal images into HGG and LGG tumor. This system uses otsu binarization to convert original image into binarized image and then k-means segmentation technique for clustering. Feature extraction is implemented using Discrete Cosine Transform(DCT). SVM classifier is the tool employed for classification which detects the tumor in the initial stage through training.
"IDENTIFICATION OF BRAIN TUMOR AND CLASSIFYING INTO HIGH GRADE AND LOW GRADE GLIOMA", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.214 - 217, May-2020, Available :https://ijsdr.org/papers/IJSDR2005036.pdf
Volume 5
Issue 5,
May-2020
Pages : 214 - 217
Paper Reg. ID: IJSDR_191743
Published Paper Id: IJSDR2005036
Downloads: 000347283
Research Area: Engineering
Country: Visakhapatnam, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
