Detection of Alzheimer's disease using pre-trained deep learning models through transfer learning: a review
M Heenaye-Mamode Khan, P Reesaul… - Artificial Intelligence …, 2024 - Springer
Due to the progress in image processing and Artificial Intelligence (AI), it is now possible to
develop automated tool for the early detection and diagnosis of Alzheimer's Disease (AD) …
develop automated tool for the early detection and diagnosis of Alzheimer's Disease (AD) …
Distance-based novelty detection model for identifying individuals at risk of developing Alzheimer's disease
H Yang, J Mao, Q Ye, M Bucholc, S Liu… - Frontiers in Aging …, 2024 - frontiersin.org
Introduction Novelty detection (ND, also known as one-class classification) is a machine
learning technique used to identify patterns that are typical of the majority class and can …
learning technique used to identify patterns that are typical of the majority class and can …
The Association Between Surgery and Mild Cognitive Impairment: Insight from a Case-Control Study
J Yu, W Tang, Z Sulaiman, X Ma… - Journal of …, 2024 - journals.sagepub.com
Background: Surgery may be associated with postoperative cognitive impairment in elder
participants, yet the extent of its association with mild cognitive impairment (MCI) remains …
participants, yet the extent of its association with mild cognitive impairment (MCI) remains …
Feasibility study of ResNet‐50 in the distinction of intraoral neural tumors using histopathological images
GC Dos Santos, ALD Araújo… - Journal of Oral …, 2024 - Wiley Online Library
Background Neural tumors are difficult to distinguish based solely on cellularity and often
require immunohistochemical staining to aid in identifying the cell lineage. This article …
require immunohistochemical staining to aid in identifying the cell lineage. This article …
LMP-TX: An AI-driven Integrated Longitudinal Multi-modal Platform for Early Prognosis of Late Onset Alzheimer's Disease
Alzheimer's Disease (AD) is the 7th leading cause of death worldwide. 95% of AD cases are
late-onset Alzheimer's disease (LOAD), which often takes decades to evolve and become …
late-onset Alzheimer's disease (LOAD), which often takes decades to evolve and become …
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
Alzheimer's Disease (AD) is a neurodegenerative condition characterized by diverse
progression rates among individuals, with changes in cortical thickness (CTh) closely linked …
progression rates among individuals, with changes in cortical thickness (CTh) closely linked …
[PDF][PDF] Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
Alzheimer's Disease (AD) is a neurodegenerative condition characterized by diverse
progression rates among individuals, with changes in cortical thickness (CTh) closely linked …
progression rates among individuals, with changes in cortical thickness (CTh) closely linked …