A hybrid approach based on multiple Eigenvalues selection (MES) for the automated grading of a brain tumor using MRI

Al-Saffar Z. A., YILDIRIM T.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.201, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 201
  • Publication Date: 2021
  • Doi Number: 10.1016/j.cmpb.2021.105945
  • Journal Name: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
  • Keywords: Brain image classification, Clustering, Image processing, Machine learning, Mutual information (MI), Singular value decomposition (SVD), Artificial neural network (ANN), Support vector machine (SVM)
  • Yıldız Technical University Affiliated: Yes

Abstract

Background and objective: The manual segmentation, identification, and classification of brain tumor using magnetic resonance (MR) images are essential for making a correct diagnosis. It is, however, an exhausting and time consuming task performed by clinical experts and the accuracy of the results is subject to their point of view. Computer aided technology has therefore been developed to computerize these procedures.