Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions
A Bhandarkar, P Naik, K Vakkund… - Artificial Intelligence …, 2024 - Springer
Alzheimer's disease affects around one in every nine persons among the elderly population.
Being a neurodegenerative disease, its cure has not been established till date and is …
Being a neurodegenerative disease, its cure has not been established till date and is …
Identification method of corn leaf disease based on improved Mobilenetv3 model
C Bi, S Xu, N Hu, S Zhang, Z Zhu, H Yu - Agronomy, 2023 - mdpi.com
Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …
However, the corn leaf disease has seriously affected the yield and quality of corn. To …
Accurate detection of Alzheimer's disease using lightweight deep learning model on MRI data
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …
Review and analysis of deep neural network models for Alzheimer's disease classification using brain medical resonance imaging
Alzheimer's disease is a type of progressive neurological disorder which is irreversible and
the patient suffers from severe memory loss. This disease is the seventh largest cause of …
the patient suffers from severe memory loss. This disease is the seventh largest cause of …
Diagnosis and detection of Alzheimer's disease using learning algorithm
In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer's
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …
Exploring deep transfer learning ensemble for improved diagnosis and classification of alzheimer's disease
Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that affects
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …
A dynamic fuzzy rule-based inference system using fuzzy inference with semantic reasoning
The challenge of making flexible, standard, and early medical diagnoses is significant.
However, some limitations are not fully overcome. First, the diagnosis rules established by …
However, some limitations are not fully overcome. First, the diagnosis rules established by …
An improved seagull algorithm for numerical optimization problem
Abstract In Artificial Intelligence, numerical optimization is an instantly rising research
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …
Deep ontology-based human locomotor activity recognition system via multisensory devices
Recognition of human locomotor activities is crucial for monitoring the motion patterns.
Current studies for human locomotor activities recognition focused on detecting basic motion …
Current studies for human locomotor activities recognition focused on detecting basic motion …
Alzheimer's Disease Prediction Using Deep Feature Extraction and Optimization
F Mohammad, S Al Ahmadi - Mathematics, 2023 - mdpi.com
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that affects a
substantial proportion of the population. The accurate and timely prediction of AD carries …
substantial proportion of the population. The accurate and timely prediction of AD carries …