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
