Automated Brain Tissue Segmentation on CT guided by MRI: Advancing AI‐based Neuroimaging for Dementia

Automated CT brain segmentation guided by MRI-derived labels demonstrates clinically acceptable segmentation performance on untrained dementia cohort. nnU-Net is more resource-efficient and suitable for limited-resource settings, while MedNeXt has higher accuracy excelling in multi-orientation and multi-modal datasets. These findings validate the feasibility of using CT imaging with advanced segmentation frameworks to develop accessible neuroimaging tools for Alzheimer's and dementia research, addressing diagnostic challenges across diverse clinical contexts.