Schizophrenia detection from EEG spectrograms using transfer learning and self-distillation methods

Key Points

• Schizophrenia is identified from EEG spectrogram data, which enhances diagnostic accuracy.
• Using advanced techniques, transfer learning and self-distillation achieved an accuracy of X%.
• Data analysis employs neural networks to leverage EEG spectrogram features effectively.
• Significance lies in developing methods for early detection of schizophrenia with EEG data.