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Deep Learning Brain Age Estimation

This Matlab project segments brain MRIs and then uses a neural network to predict the brain age based on the segmentation.

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Brain age estimation could aid in the diagnosis of neurodegenerative diseases. This project presents an algorithm which predicts age based on brain MR images. Our algorithm strips the skull from raw MRI images, then uses a multi-atlas technique to segment these images, followed by a deep learning network to predict age. The team was able to create an algorithm that predicts age based on brain region volume with a final testing RMSE of 15.73 years.

Kratz Final Writeup.pdf

Detailed 4-page paper on this project with background research.

Adobe Portable Document Format - 758.03 kB - 07/03/2022 at 13:51

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brain age estimation project.zip

Trained network and segmentation Matlab files.

x-zip-compressed - 20.28 MB - 07/03/2022 at 13:49

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project summmary video.mp4

5-minute video summary which explains our methods and results.

MPEG-4 Video - 27.89 MB - 07/03/2022 at 13:49

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