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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: | IDENTIFICATION OF BRAIN TUMOR AND CLASSIFYING INTO HIGH GRADE AND LOW GRADE GLIOMA |
| Authors Name: | Mrs.K.Yashoda , E.Mounika , G.Sahitya , K.Eswar Venkat , K.Venkatesh |
| Unique Id: | IJSDR2005036 |
| Published In: | Volume 5 Issue 5, May-2020 |
| Abstract: | 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. |
| Keywords: | HGG, LGG, Brain tumor, MRI, K- means, DCT, SVM |
| Cite Article: | "IDENTIFICATION OF BRAIN TUMOR AND CLASSIFYING INTO HIGH GRADE AND LOW GRADE GLIOMA", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.214 - 217, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005036.pdf |
| Downloads: | 000337072 |
| Publication Details: | Published Paper ID: IJSDR2005036 Registration ID:191743 Published In: Volume 5 Issue 5, May-2020 DOI (Digital Object Identifier): Page No: 214 - 217 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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