Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …
developed countries, has led to population growth and increased age-related diseases …
Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …
disorder among the elderly and is a leading cause of dementia. AD results in significant …
[HTML][HTML] Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques
Alzheimer's Disease (AD) is a worldwide concern impacting millions of people, with no
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …
Automatic early diagnosis of Alzheimer's disease using 3D deep ensemble approach
Alzheimer's disease (AD) is considered the 6 leading cause of death worldwide. Early
diagnosis of AD is not an easy task, and no preventive cures have been discovered yet …
diagnosis of AD is not an easy task, and no preventive cures have been discovered yet …
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
Glaucoma is a chronic progressive optic neuropathy characterized by the impairment of the
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
A novel multiscale and multipath convolutional neural network based age-related macular degeneration detection using OCT images
A Thomas, PM Harikrishnan, R Ramachandran… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective: One of the significant retinal diseases that affected older
people is called Age-related Macular Degeneration (AMD). The first stage creates a blur …
people is called Age-related Macular Degeneration (AMD). The first stage creates a blur …
[HTML][HTML] Construction of chub mackerel (Scomber japonicus) fishing ground prediction model in the northwestern Pacific Ocean based on deep learning and marine …
H Han, C Yang, B Jiang, C Shang, Y Sun, X Zhao… - Marine Pollution …, 2023 - Elsevier
Accurate prediction of the central fishing grounds of chub mackerel is substantial for
assessing and managing marine fishery resources. Based on the high-seas chub mackerel …
assessing and managing marine fishery resources. Based on the high-seas chub mackerel …
[HTML][HTML] Prediction and classification of Alzheimer disease categories using integrated deep transfer learning approach
M Leela, K Helenprabha, L Sharmila - Measurement: Sensors, 2023 - Elsevier
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects memory
and cognitive function. Early diagnosis of AD is important for timely intervention and …
and cognitive function. Early diagnosis of AD is important for timely intervention and …
Diagnosis of Alzheimer's disease using convolutional neural network with select slices by landmark on Hippocampus in MRI images
Alzheimer's disease (AD) is a major public health priority. Hippocampus is one of the most
affected areas of the brain and is easily accessible as a biomarker using MRI images in …
affected areas of the brain and is easily accessible as a biomarker using MRI images in …
Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated …
Introduction Machine learning (ML) algorithms and statistical modeling offer a potential
solution to offset the challenge of diagnosing early Alzheimer's disease (AD) by leveraging …
solution to offset the challenge of diagnosing early Alzheimer's disease (AD) by leveraging …