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[HTML][HTML] Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
Deep feature extraction based brain image classification model using preprocessed images: PDRNet
Background Stroke is a neurological condition that occurs when cerebral vessels become
blocked and have reduced blood flow. This research proposes a hybrid deep feature-based …
blocked and have reduced blood flow. This research proposes a hybrid deep feature-based …
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Purpose Multiple sclerosis (MS) is a commonly seen neurodegenerative disorder, and early
diagnosis of MS is a crucial issue to promote patient health. Since MS diagnosis is a …
diagnosis of MS is a crucial issue to promote patient health. Since MS diagnosis is a …
Attention deep feature extraction from brain MRIs in explainable mode: Dgxainet
Artificial intelligence models do not provide information about exactly how the predictions
are reached. This lack of transparency is a major drawback. Particularly in medical …
are reached. This lack of transparency is a major drawback. Particularly in medical …
Automated ischemic acute infarction detection using pre-trained CNN models' deep features
Abstract Background Cerebrovascular Diseases (CVD) constitute more than 50% of
neurological diseases requiring hospital treatment. Stroke is a type of disease that causes …
neurological diseases requiring hospital treatment. Stroke is a type of disease that causes …
A proposed tree-based explainable artificial intelligence approach for the prediction of angina pectoris
Cardiovascular diseases (CVDs) are a serious public health issue that affects and is
responsible for numerous fatalities and impairments. Ischemic heart disease (IHD) is one of …
responsible for numerous fatalities and impairments. Ischemic heart disease (IHD) is one of …
[HTML][HTML] ASNET: a novel AI framework for accurate ankylosing spondylitis diagnosis from MRI
Background: Ankylosing spondylitis (AS) is a chronic, painful, progressive disease usually
seen in the spine. Traditional diagnostic methods have limitations in detecting the early …
seen in the spine. Traditional diagnostic methods have limitations in detecting the early …
[HTML][HTML] Exemplar MobileNetV2-based artificial intelligence for robust and accurate diagnosis of multiple sclerosis
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system that
prominently affects young adults due to its debilitating nature. The pathogenesis of the …
prominently affects young adults due to its debilitating nature. The pathogenesis of the …
AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans
This study aims to develop an AI-enhanced methodology for the expedited and accurate
diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system …
diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system …
A deep learning approach for predicting multiple sclerosis
This paper proposes a deep learning model based on an artificial neural network with a
single hidden layer for predicting the diagnosis of multiple sclerosis. The hidden layer …
single hidden layer for predicting the diagnosis of multiple sclerosis. The hidden layer …