Richard F Msacky
Quality of health service in the local government authorities in Tanzania: a perspective of the healthcare seekers from Dodoma City and Bahi District councils
BMC health services research
brain tumors pose significant medical challenge necessitating precise detection diagnosis especially magnetic resonance imagingmri current methodologies reliant traditional image processing conventional machine learning encounter hurdles accurately discerning tumor regions within intricate mri scans often susceptible noise varying image quality advent artificial intelligence ai revolutionized various aspects healthcare providing innovative solutions diagnostics treatment strategies paper introduces novel aidriven methodology brain tumor detection mri images leveraging efficientnetb2 deep learning architecture approach incorporates advanced image preprocessing techniques including image cropping equalization application homomorphic filters enhance quality mri data accurate tumor detection proposed model exhibits substantial performance enhancement demonstrating validation accuracies 9983 9975 992 bdbraintumor braintumordetection brainmriimagesforbraintumordetection datasets respectively research holds promise refined clinical diagnostics patient care fostering accurate reliable brain tumor identification mri images data available github httpsgithubcommuskan258braintumordetectionfrommriimagesutilizingefficientnetb2