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 …
Automatic detection of Alzheimer's disease using deep learning models and neuro-imaging: current trends and future perspectives
T Illakiya, R Karthik - Neuroinformatics, 2023 - Springer
Deep learning algorithms have a huge influence on tackling research issues in the field of
medical image processing. It acts as a vital aid for the radiologists in producing accurate …
medical image processing. It acts as a vital aid for the radiologists in producing accurate …
Prediction of Alzheimer's progression based on multimodal deep-learning-based fusion and visual explainability of time-series data
Alzheimer's disease (AD) is a neurological illness that causes cognitive impairment and has
no known treatment. The premise for delivering timely therapy is the early diagnosis of AD …
no known treatment. The premise for delivering timely therapy is the early diagnosis of AD …
A generic optimization and learning framework for Parkinson disease via speech and handwritten records
Parkinson's disease (PD) is a neurodegenerative disorder with slow progression whose
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
Machine Learning Model and Cuckoo Search in a modular system to identify Alzheimer's disease from MRI scan images
S Thangavel, S Selvaraj - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Alzheimer's disease affects the majority of the elderly in today's world. It directly affects the
neurotransmitters and leads to dementia. Brain MRI images can identify Alzheimer's …
neurotransmitters and leads to dementia. Brain MRI images can identify Alzheimer's …
[HTML][HTML] Time-series visual explainability for Alzheimer's disease progression detection for smart healthcare
Artificial intelligence (AI)-based diagnostic systems provide less error-prone and safer
support to clinicians, enhancing the medical decision-making process. This study presents a …
support to clinicians, enhancing the medical decision-making process. This study presents a …
A review of deep learning approaches in clinical and healthcare systems based on medical image analysis
Healthcare is a high-priority sector where people expect the highest levels of care and
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …
A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer
Alzheimer's disease (AD) is a chronic disease that affects the elderly. There are many
different types of dementia, but Alzheimer's disease is one of the leading causes of death …
different types of dementia, but Alzheimer's disease is one of the leading causes of death …
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques
Alzheimer's disease (AD) is a degenerative neurological disorder with incurable
characteristics. To identify the substantial solution, we used a structural biomarker (structural …
characteristics. To identify the substantial solution, we used a structural biomarker (structural …
[HTML][HTML] Alzheimer's disease diagnosis in the metaverse
Abstract Background and Objective The importance of early diagnosis of Alzheimer's
Disease (AD) is by no means negligible because no cure has been recognized for it rather …
Disease (AD) is by no means negligible because no cure has been recognized for it rather …