B.E Project

Motivation

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.

Project Scope

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.

Applications

The proposed system works geniusly!

Report Summary

Patients with MRI can immediately check their scans through the system.

Information Guide

Doctors with in-confident knowledge about tumor can guide the patient, through confident validation by using the system.

Treatment Guide

Patients can view alternative hospitals and doctors which would provide treatment. The cost and experience of doctors is provided.

Diagnosis Guide

Patients and Doctors can track changes in tumor position.

Quick Analysis

Users no longer have to wait for results of MRI report.

User Friendly

The availability of Android application brings system to users fingertips.

Our Team

The group who completed this challenge !

Sartaj Bhuvaji

Leader,ML models
Did pre-processing of data, using cropping and augmentation. Created the Deep learning models using ANN,CNN, TL. Tuned the hyper-parameters to get best accuracies possible.
Roll : 7 Class: BE B


Performed cleaning and pre-processing on Data. Built the flask applications for Classification and Segmentation from scratch. Deployed the flask application on AWS.
Roll no :31 Class BE B

Ankita Kadam

Data Analysis,Flask


Prajakta Bhumkar

Web Development, Website


Executed Data refinement along with selective extraction of best data samples. Built the website and its associated components. Management of data-base.
Roll : 6 Class: BE B


Performed data augmentation, testing of the complete system and generation of reports. Created the android application and its associated components.
Roll no : 13 Class BE B

Sameer Dedge

Android App development, Testing