Efficient Machine Learning-based Approach for Brain Tumor Detection Using the CAD System
Author:
Affiliation:
1. Centre for Development of advanced Technologies (CDTA), Algiers, Algeria
2. Research Center on Scientific and Technical Information (CERIST), Algiers, Algeria
3. University of science and technology Houari Boumediene (USTHB), Algiers, Algeria
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2196950
Reference36 articles.
1. A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’s thresholding with prominent features and supervised learning
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4. Computer-aided diagnosis of cavernous malformations in brain MR images
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