Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification
Najran University · Chandka Medical College · +6 more institutions
Abstract
Neurological and brain-related cancers are one of the main causes of death worldwide. A commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI), yet the manual evaluation of MRI images by medical experts presents difficulties due to time constraints and variability. This research introduces a novel, two-module computerized method aimed at increasing the speed and accuracy of brain tumor detection. The first module, termed the Image Enhancement Technique, utilizes a trio of machine learning and imaging strategies—adaptive Wiener filtering, neural networks, and independent component analysis—to normalize images and combat issues such as noise and varying low region contrast. The…
Citation impact
- FWCI
- 31.21
- Percentile
- 100%
- References
- 59
Authors
6- AAAbdullah A. AsiriCorresponding
Najran University
- TAToufique Ahmed Soomro
Chandka Medical College, Quaid-e-Awam University of Engineering, Science and Technology
- AAAhmed Ali
Sukkur IBA University
- GPGanna Pogrebna
Turing Institute, The University of Sydney, Charles Sturt University, The Alan Turing Institute
- MIMuhammad Irfan
Najran University
Topics & keywords
- Brain tumor
- Dual (grammatical number)
- Computer science
- Artificial intelligence
- Contextual image classification
- Image enhancement
- Pattern recognition (psychology)
- Computer vision