UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2108131


Registration ID:
313626

Page Number

b10-b25

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Title

ENHANCED PRINCIPAL COMPONENT ANALYSIS WITH FORMALIZED GLOBAL IMAGE DESCRIPTOR (EPCA-FGIST) FOR FEATURE EXTRACTION IN BRAIN TUMOR IDENTIFICATION

Abstract

A brain tumor is a disease by which many people are affected. It is differentiated into two types-mainly benign and malignant tumors. The benign is a non-cancerous tumor and it can be removed by surgery. In India, every year 40,000- 50,000 persons are diagnosed with brain tumor. Traditionally, radiologists manually detect and calculate the size of the tumor from CT scan images during regular screening. Out of which, approximately, 10% to 30% of tumors are missed by them. Data mining is an effective technique for mining valuable examples or data from picture and literary informational collections. We proposed Enhanced PCA-FGIST for identifying the tumor possibilities. Therapeutic data mining is vital field as it has critical utility in human services area in reality. The principle thought of this audit paper is to exhibit a review about Brain tumor identification framework and EPCA-FGIST data mining techniques utilized.

Key Words

Brain Tumor Identification; Data Mining, EPCA, FGIST, Feature Extraction, Pre-Processing, MRI, neural network,

Cite This Article

" ENHANCED PRINCIPAL COMPONENT ANALYSIS WITH FORMALIZED GLOBAL IMAGE DESCRIPTOR (EPCA-FGIST) FOR FEATURE EXTRACTION IN BRAIN TUMOR IDENTIFICATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.b10-b25, August-2021, Available :http://www.jetir.org/papers/JETIR2108131.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" ENHANCED PRINCIPAL COMPONENT ANALYSIS WITH FORMALIZED GLOBAL IMAGE DESCRIPTOR (EPCA-FGIST) FOR FEATURE EXTRACTION IN BRAIN TUMOR IDENTIFICATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppb10-b25, August-2021, Available at : http://www.jetir.org/papers/JETIR2108131.pdf

Publication Details

Published Paper ID: JETIR2108131
Registration ID: 313626
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: b10-b25
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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