Paper Contents
Abstract
The Brain Disease Detection Using MRI and AI project aims to develop an intelligent system that leverages advanced machine learning and deep learning algorithms to detect brain diseases from MRI scans. Brain disorders like tumor, stroke, and migraine are difficult to diagnose at early stages due to subtle patterns in MRI data, which can lead to delayed treatment. This project integrates a robust AI model trained on a comprehensive dataset of MRI scans to automate the diagnostic process, improving speed, accuracy, and consistency in detecting various brain diseases. The system consists of three primary modules: a Training Module for developing and optimizing the AI model, a Web Module for clinicians to interact with the system, and a Disease Detection Module that applies the trained AI model to analyze MRI scans and deliver diagnostic results. This automated approach provides a valuable tool for early diagnosis and timely medical interventions, ultimately improving patient outcomes.
Copyright
Copyright © 2025 Mr. Pratik Pote, Mr. Suraj Palavi, Mr. Atharv Patil, Mr. Rashid Shaikh, Ms.G.D.Bendale . This is an open access article distributed under the Creative Commons Attribution License.
