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January-2024
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Journal of Emerging Technologies and Innovative Research ( 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
UGC Approved Journal no 63975(19)
ISSN: 2349-5162 | ESTD Year : 2014 Call for Paper
Volume 11 | Issue 5 | May 2024
ISSN: 2349-5162 | ESTD Year : 2014 Call for Paper
Volume 11 | Issue 5 | May 2024
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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JETIR2401554
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531909
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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
Page No: f460-f469
Country: Thane, Maharastra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2401554
Published Paper PDF: https://www.jetir.org/papers/JETIR2401554
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