We the students of Moden College Of Engineering
Brain Tumors are complex. There are a lot of variations in sizes and location of tumor. This makes it really hard for complete understanding of tumor. Also a professional Neurosurgeon is required for MRI analysis. Often times in developing countries the lack of skillful doctors and lack of knowledge about tumors makes it really challenging and time-consuming to generate reports from MRI’s. So an automated system on Cloud can solve this problem.
The automated system would be able to decide is the MRI has a tumor and the system would be able to pinpoint the exact type of tumor identified. The system would also be able to maintain records of patients and track tumor size. Providing list of doctors, suggestions and further medical diagnostic procedure would help eliminate any confusion among patients.
We the students of Moden College Of Engineering
We cleaned and processed the availabe data and build multiple ANN,CNN, TL models.
Selecting best models with tuned hyper-parameters for MRI classification.
AWS deployment.
Display position of tumor.
Reduction in Medical negligence or Human error.
The proposed system works geniusly!
Patients with MRI can immediately check their scans through the system.
Doctors with in-confident knowledge about tumor can guide the patient, through confident validation by using the system.
Patients can view alternative hospitals and doctors which would provide treatment. The cost and experience of doctors is provided.
Patients and Doctors can track changes in tumor position.
Users no longer have to wait for results of MRI report.
The availability of Android application brings system to users fingertips.
The group who completed this challenge !