Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG‐PET

SH Nozadi, S Kadoury… - … journal of biomedical …, 2018 - Wiley Online Library
Early identification of dementia in the early or late stages of mild cognitive impairment (MCI)
is crucial for a timely diagnosis and slowing down the progression of Alzheimer's disease …

Comparative analysis of different brain regions using machine learning for prediction of EMCI and LMCI stages of Alzheimer's disease

G Uysal, M Ozturk - Multimedia Tools and Applications, 2024 - Springer
For early diagnosis of dementia and slowing the progression of Alzheimer's disease (AD),
detection of Mild Cognitive Impairment (MCI), which is the first stage of AD, in the early or …

[HTML][HTML] Vector space model adaptation and pseudo relevance feedback for content-based image retrieval

H Karamti, M Tmar, M Visani, T Urruty… - Multimedia Tools and …, 2018 - Springer
Image retrieval is an important problem for researchers in computer vision and content-
based image retrieval (CBIR) fields. Over the last decades, many image retrieval systems …

Classifying early and late mild cognitive impairment stages of Alzheimer's disease by analyzing different brain areas

G UYSAL, M Ozturk - 2020 Medical Technologies Congress …, 2020 - ieeexplore.ieee.org
Early detection of the stage of mild cognitive impairment (MCI) is very important for early
diagnosis of dementia and slowing down the progression of Alzheimer's disease. Atrophy …

Statistical features and voxel-based morphometry for alzheimer's disease classification

Y Farouk, S Rady, H Faheem - 2018 9th International …, 2018 - ieeexplore.ieee.org
Alzheimer's disease causes progressive decline in the mental abilities that usually starts
with memory loss and ends with cognitive and behavioral disorders. Studying the …

[PDF][PDF] A survey on classification methods of brain MRI for Alzheimer's disease

M Lohar, R Patange - Int J Eng Res Technol, 2018 - academia.edu
Alzheimer's disease (AD) is the most typical type of dementia. There are no available
treatments that stop or reverse the progression of the disease which is harmful and …

[PDF][PDF] 基于PiB PET 图像感兴趣区域的阿尔茨海默症计算机辅助分析

段火强, 舒星辉, 徐俊, 蒋皆恢 - 中国生物医学工程学报, 2016 - cjbme.csbme.org
阿尔兹海默症(AD) 是一种不可逆的神经退行性疾病, PiB PET 成像技术可用于AD 的早期诊断.
但是, 目前临床基于PiB PET 图像的AD 诊断主要依靠医生视觉评估分析, 其缺点为依赖医生经验 …

Discrimination of Alzheimer's Disease using longitudinal information

H Aidos, A Fred… - Data Mining and …, 2017 - Springer
Alzheimer's Disease (AD) is a neurological disorder that leads to a loss of cognitive
functioning, affecting older people as well as their families. Although a few treatments are …

Intelligent Algorithms for the Diagnosis of Alzheimer's Disease

SA Soliman, RR Hussein… - … Smart Healthcare and …, 2020 - taylorfrancis.com
The detection of early morphological changes in the brain and early diagnosis of
Alzheimer's disease (AD) are important in the field of healthcare. It is possible to use high …

Patch Ranking Map: Explaining Relations among Top-Ranked Patches, Top-Ranked Features and Decisions of Convolutional Neural Networks for Image …

L Zhang - openreview.net
Since a conventional Convolutional Neural Network (CNN) using a large number of
extracted features is not fully explainable and not very memory-efficient, we develop an …