Original paper
A Weighted Voting Classifiers Ensemble for the Brain Tumors Classification in MR Images
Volume: 68, Issue: 5, Pages: 3829 - 3842
Published: Jun 18, 2020
Abstract
The appropriate treatment of cancers critically depends on the precise identification of the tumor types. The Magnetic Resonance Imaging (MRI) provides a non-invasive approach for detecting the tumors and classifying their types. Computer-aided diagnosis (CAD) systems using image analysis and machine learning algorithms assist radiologists in making error-free decisions. This paper presents an integrated approach for the segmentation and...
Paper Details
Title
A Weighted Voting Classifiers Ensemble for the Brain Tumors Classification in MR Images
Published Date
Jun 18, 2020
Volume
68
Issue
5
Pages
3829 - 3842
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History