Journal of Medical Diagnostic Methods
Open Access
ISSN: 2168-9784
ISSN: 2168-9784
Department of Computer Science, Kanas State University, Manhattan, USA
Research Article
CAD-BT: A Computer Aided Diagnostic System Based on Optimized MobileNet for Detection and Classification of Brain Tumor
Author(s): Muhammad Zaheer Sajid*, Muhammad Imran Sharif, Ayman Youssef, Ayesha Butt, Muneeba Daud and Muhammad Fareed Hamid
Statistically, about seven hundred thousand patients suffer brain tumor disease every year around the world causing the condition unstable and even, dangerous to live with. The condition happens when the brain cells that have undergone mutation or exposure to a radiation source can no longer control their growth relatively. Herein, we introduce CAD-BT, an intelligently automated detection and classification system that is dedicated to determine the severity of brain tumors. The system capitalizes on the MobileNet architecture with a subnet-enhanced version along with residual blocks to increase performance. The CAD-BT preprocessing is done by means of an approach which consists of MSR-enhanced, CLAHE-enhanced, histogram equalization, Gaussian blur and mixed-enhanced techniques that help to optimize tumor visibility, suppress surrounding noisy brain tissue and enhance overall brain tum.. View More»
DOI:
10.35248/2168-9784.25.14.519