Edge-Aware Dual-Branch CNN Architecture for Alzheimer’s Disease Diagnosis

Key Points

• The analysis reveals enhanced diagnostic performance for Alzheimer's disease using edge-aware techniques in CNN architecture.
• Improvements included a sensitivity increase of 15% over traditional methods, from 70% to 85%.
• Assessment using a dual-branch CNN architecture allows for improved feature extraction in brain scans.
• This analysis indicates potential for increased diagnostic accuracy in Alzheimer’s disease cases, supporting future clinical applications.