AI-Driven Brain MRI diagnosis using Deep Learning

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Jay Shankar Wanjale; Rutuja Deshmukh; Aakanksha Upadhya; Aditya Pisal; Jayashree Surpur

AI-Driven Brain MRI diagnosis using Deep Learning

Authors: Jay Shankar Wanjale, Rutuja Deshmukh, Aakanksha Upadhya, Aditya Pisal, Jayashree Surpur

Unique Paper ID: 177421
Volume: 11
Issue: 12
PageNo: 2250-2254

Keywords: :- Magnetic resonance imaging Brain image extraction Artifacts Grey inconsistencies Generative adversarial networks medical imaging image synthesis image enhancement image augmentation image segmentation Convolutional Neural Network CNN Classifier Report generation.

Abstract:
Early detection of brain diseases such as tumors and Alzheimer’s is crucial for effective treatment. However, traditional MRI analysis is often time-consuming, heavily reliant on radiologists, and susceptible to human error. This project is an innovative solution that harnesses Artificial Intelligence and Deep Learning to automate brain MRI image enhancement and disease classification, addressing the limitations of traditional, manual MRI analysis which is often time-consuming and error-prone. A key challenge in neuroimaging is the accurate extraction of Brain MRI images, especially from low-quality scans with artifacts and grey-level inconsistencies that hinder precise diagnosis. Our software employs a Cycle-GAN architecture, where a generator enhances low-quality MRI images and a discriminator refines the output by distinguishing between real and generated images, ensuring improved feature learning. The enhanced image is then fed into a pre-trained Convolutional Neural Network (CNN) that identifies diseases based on image patterns and features. Following classification, the system's user interface generates a downloadable report in .txt format, detailing the diagnosed condition, its symptoms, causes, treatments, precautions, and expert guidance. This comprehensive approach empowers neurologists to accelerate diagnosis and initiate timely, more accurate treatment plans.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2250-2254

AI-Driven Brain MRI diagnosis using Deep Learning

Available:https://ijirt.org/article?manuscript=177421

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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