no code implementations • 1 Mar 2024 • Leopold Hebert-Stevens, Gabriel Jimenez, Benoit Delatour, Lev Stimmer, Daniel Racoceanu
This study utilizes graph theory and deep learning to assess variations in Alzheimer's disease (AD) neuropathologies, focusing on classic (cAD) and rapid (rpAD) progression forms.
1 code implementation • 13 Jan 2023 • Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
In this study, we propose a DL-based methodology for semantic segmentation of tau lesions (i. e., neuritic plaques) in WSI of postmortem patients with AD.