IDENTIFICATION OF HERNIATED DISC IN LUMBO SACRAL REGION USING MR

Abstract

For the past few years many doctors and scientists are working on the project related to radiology and medical. This project proposes the solution mainly for the radiologist that helps them to examine thousands of MRI in no time as the herniated disc problem is rapidly increasing due to which the workload on the radiologist also increases. Keeping in mind this situation we have proposed the solution which can automatically generate the result ofthe MRI ofthe backbone using the machine learning, transfer learning models as well as image processing tools. This system can predict after seeing the MRI ofthe patient that whether the patient has Herniated disc problem or not. It is also effective for the patients as it gives accuracy by comparing the normal person MRI with Herniated Disc MRI scan. The implementation is based on the Machine Learning (Convolution Neural Network), image preprocessing and binary classification