Year: 2025
Type: article
Abstract: : Lumbar Spine Degenerative Classification is a deep learning-based initiative focused on the automated analysis of MRI images to detect and categorize spinal disc degeneration. The system classifies images into three levels: normal, mild/moderate, and severe, helping reduce subjectivity in medical diagnosis. By applying an efficient convolutional neural network architecture, the model captures subtle features in spinal structures, leading to improved diagnostic accuracy. This project aims to support healthcare professionals by offering consistent, fast, and reliable assessments of lumbar spine health. It enhances clinical workflows, encourages early detection, and facilitates ongoing monitoring. With a focus on scalability and accessibility, the system can be integrated into medical settings to improve patient care outcomes. The project demonstrates the potential of artificial intelligence in transforming medical imaging and contributes to building a more intelligent and supportive healthcare environment.
Author: Asst. Prof. Bhagya K
Language: English
Topic: Medical Imaging and Analysis
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409528901