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3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia
In this paper, we present a novel 3D transformer-based architecture using a deformable patch location module to improve the differential diagnosis of Alzheimer's disease and Frontotemporal dementia.
Brain Structure Ages -- A new biomarker for multi-disease classification
Second, brain structure ages can be used to compute the deviation from the normal aging process of each brain structure.
Deep Grading based on Collective Artificial Intelligence for AD Diagnosis and Prognosis
In the first stage, we propose a deep grading model to extract meaningful features.
Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia
In this paper, we propose a deep learning based approach for both problems of disease detection and differential diagnosis.
Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia
However, differential diagnosis of these two types of dementia remains difficult at the early stage of disease due to similar patterns of clinical symptoms.
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
Current deep learning-based approaches in this field, however, have a number of drawbacks, including the interpretability of model decisions, a lack of generalizability information and a lower performance compared to traditional machine learning techniques.
