Student Work
Neural Neural Network
PublicDownloadable Content
open in viewerFMRI 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.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-032019-172453
- Advisor
- Year
- 2019
- Date created
- 2019-03-20
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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NeuralNeuralNet_MQP_PDFA.pdf | Public | Download | ||
neural-neural-net-code.zip | Public | Download |
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