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A Cross-Feature Mutual Learning Framework Integrating Multiple Features for Brain Disorder Diagnosis

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A Cross-Feature Mutual Learning Framework Integrating Multiple Features for Brain Disorder Diagnosis

⚙️ Setup Environment

conda create -n cfml
conda activate cfml
pip install -r requirements.txt

Training and Evaluation

We use Keras for training and sklearn.metrics for evaluation. The code execution command is as follows:

python main_tc_fnc.py

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A Cross-Feature Mutual Learning Framework Integrating Multiple Features for Brain Disorder Diagnosis

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