Faculty Advisor

Guo, Tian

Faculty Advisor

Kong, Xiangnan

Abstract

FMRI is a modern technique employed to help diagnose internal brain injuries. Analyzing the resulting data from them is currently facilitated by medical professionals. Having these professionals involved can increase the inherent cost of this process with regards to time and monetary value. For our project we aimed to address this problem by creating a neural network that can analyze unprocessed fMRI data and identify brain injuries. The result of this was a model that could predict whether a given fMRI contained a concussion with 70% accuracy.

Publisher

Worcester Polytechnic Institute

Date Accepted

March 2019

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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