Using deep learning to analyze 2D structural brain MRI images for identifying schizophrenia

Key Points

• Classification accuracy reached 85% using neural networks for brain MRI images, showing effective identification of schizophrenia.
• Key evidence involved a dataset comprising 500 brain MRI images classified based on schizophrenia presence.
• Assessment utilized deep learning algorithms, analyzing structural MRI images for pattern recognition and diagnosis.
• Highlights potential enhancements in early diagnosis of schizophrenia using advanced image analysis techniques, aiming for better outcomes.