Leveraging Self-Supervision and Limited Data for Accurate Differential Diagnosis of Alzheimer's and Frontotemporal Dementia

Triplet Training, a novel approach combining self-supervised learning, self-distillation, and fine-tuning, significantly outperforms traditional training strategies for differentiating Alzheimer's disease and frontotemporal dementia using limited target data.