tdaug6/Deep-Learning-Methods-to-Predict-Disease-in-Brain-Images

Use resting state fMRI dataset of ADHD and controls to predict ADHD and evaluate performance on related population of ADHD

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Experimental

This project helps medical researchers and neurologists classify Attention-Deficit/Hyperactivity Disorder (ADHD) using fMRI brain scans. It takes resting-state fMRI data, processes it into a matrix of brain region activity, and then applies deep learning models to predict an ADHD diagnosis. The outcome is a classification model that can assist in identifying individuals with ADHD.

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Use this if you are a medical researcher or neurologist seeking to develop and evaluate deep learning models for ADHD diagnosis from resting-state fMRI data.

Not ideal if you need a clinical diagnostic tool for immediate patient use or if your primary interest is in fMRI data visualization rather than disease classification.

neuroimaging ADHD-diagnosis brain-disorder-prediction fMRI-analysis neurology-research
No License Stale 6m No Package No Dependents
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Last pushed

Aug 04, 2023

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