Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia

Résumé

Alzheimer's disease and Frontotemporal dementia are two major types of dementia. Their accurate diagnosis and differentiation is crucial for determining specific intervention and treatment. However, differential diagnosis of these two types of dementia remains difficult at the early stage of disease due to similar patterns of clinical symptoms. Therefore, the automatic classification of multiple types of dementia has an important clinical value. So far, this challenge has not been actively explored. Recent development of deep learning in the field of medical image has demonstrated high performance for various classification tasks. In this paper, we propose to take advantage of two types of biomarkers: structure grading and structure atrophy. To this end, we propose first to train a large ensemble of 3D U-Nets to locally discriminate healthy versus dementia anatomical patterns. The result of these models is an interpretable 3D grading map capable of indicating abnormal brain regions. This map can also be exploited in various classification tasks using graph convolutional neural network. Finally, we propose to combine deep grading and atrophy-based classifications to improve dementia type discrimination. The proposed framework showed competitive performance compared to state-of-the-art methods for different tasks of disease detection and differential diagnosis.
Fichier principal
Vignette du fichier
paper2064.pdf (1.14 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03696832 , version 1 (10-10-2022)

Identifiants

Citer

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé. Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia. International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Resorts World Convention Centre, Singapore. ⟨10.1007/978-3-031-16431-6_6⟩. ⟨hal-03696832⟩

Collections

CNRS ANR
39 Consultations
56 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More