Automated Brain Tumor Detection Using Deep Learning and Flask Web Application
Abstract
Brain tumors are an important health issue worldwide, and timely diagnosis is often needed for effective treatment strategies. With advances in deep learning techniques, automated tumor detection systems have emerged as promising tools to help radiologists perform more accurate diagnoses In this paper we present a comprehensive analysis of the brain presenting a tumor detection system developed using deep learning models integrated with the Flask web application. We discuss the program design, implementation, and performance evaluation, and highlight potential impacts on health care delivery.
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