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Hand drawn sketches - Alzheimer dataset
Eyal Gilad-Gitter and Niv Koren
Supervised by Alon Zvirin
Abstract
Early detection of Alzheimer’s Disease and Mild Cognitive Impairment is critical for effective intervention. This project investigates the automated assessment of cognitive states from patient self-portraits by converting static raster sketches into 2D point clouds and analyzing them using PointNet and PointNet-based multimodal fusion architectures.
Pictures
Project Report
Please, see project report.
Final Presentation
Please, see final presentation.