DeepVBM: A fully automatic and efficient voxel-based morphometry via deep learning-based segmentation and registration methods

Key Points

• Automatic voxel-based morphometry improves brain imaging efficiency and accuracy, enabling faster analysis.
• Deep learning segmentation methods lead to more accurate image processing metrics, enhancing diagnostic potential.
• Implementation of registration techniques in the model aids in better alignment of brain scans across subjects, boosting reliability.
• This advancement may enable widespread clinical adoption while addressing limitations in traditional methods.