UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 11 | November 2024

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Volume 11 Issue 1
January-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2401554


Registration ID:
531909

Page Number

f460-f469

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Title

Comparison of feature selection method and machine learning classifier for radiomics analysis in glioma evaluation

Abstract

Radiomics-based studies have demonstrated predictive capabilities using machine learning approaches. However, it is still unclear whether different radiomics strategies affect prediction performance. The purpose of this study was to compare the predictive performance of commonly used radiographic feature selection and classification methods in glioma staging. Quantitative radiomics features were extracted from tumor regions of 210 His MRI glioblastoma (GBM) and 75 low-grade glioma (LGG) patients.

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"Comparison of feature selection method and machine learning classifier for radiomics analysis in glioma evaluation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.f460-f469, January-2024, Available :http://www.jetir.org/papers/JETIR2401554.pdf

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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

"Comparison of feature selection method and machine learning classifier for radiomics analysis in glioma evaluation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppf460-f469, January-2024, Available at : http://www.jetir.org/papers/JETIR2401554.pdf

Publication Details

Published Paper ID: JETIR2401554
Registration ID: 531909
Published In: Volume 11 | Issue 1 | Year January-2024
DOI (Digital Object Identifier):
Page No: f460-f469
Country: Thane, Maharastra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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