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An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
BackgroundEpilepsy is a neurological disorder that is usually detected by electroencephalogram (EEG) signals. Since manual examination of epilepsy...
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Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network
Atrial fibrillation (AF) is a cardiac arrhythmia which is characterized based on the irregsular beating of atria, resulting in, the abnormal atrial...
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Artificial intelligence-driven enhanced skin cancer diagnosis: leveraging convolutional neural networks with discrete wavelet transformation
BackgroundArtificial intelligence (AI) has shown great promise in the field of healthcare as a means of improving the diagnosis of skin cancer. The...
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Novel EEG Metric Correlates with Intracranial Pressure in an Animal Model
BackgroundIntracranial pressure (ICP) can be continuously and reliably measured using invasive monitoring through an external ventricular catheter or...
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New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection
Multiple sclerosis (MS) is one of the most serious neurological diseases. It is the most frequent reason of non-traumatic disability among young...
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Interactions of central and autonomic nervous systems in patients with sleep apnea–hypopnea syndrome during sleep
PurposeSleep apnea–hypopnea syndrome (SAHS) is an independent risk factor for various cardiovascular and cerebrovascular diseases, but the underlying...
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MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas
ObjectivesTo evaluate the diagnostic performance of MRI-based radiomics model for differentiating phyllodes tumors of the breast from fibroadenomas.
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Using an Automated Speech Recognition Approach to Differentiate Between Normal and Aspirating Swallowing Sounds Recorded from Digital Cervical Auscultation in Children
Use of machine learning to accurately detect aspirating swallowing sounds in children is an evolving field. Previously reported classifiers for the...
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Texture features in the Shearlet domain for histopathological image classification
BackgroundA various number of imaging modalities are available (e.g., magnetic resonance, x-ray, ultrasound, and biopsy) where each modality can...
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Image acquisition stability of fixated musculoskeletal sonography in an exercise setting: a quantitative analysis and comparison with freehand acquisition
PurposeIn dynamic musculoskeletal sonography, probe fixation can contribute to field of view (FOV) consistency, which is necessary for valid analysis...
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Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major...
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A demonstration of high field-of-view stability in hands-free echocardiography
BackgroundExercise stress echocardiography is clinically used to assess cardiovascular diseases. For accurate cardiac evaluation, a stable...
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Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG
This paper presents a novel algorithm (CVSTSCSP) for determining discriminative features from an optimal combination of temporal, spectral and...
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Glaucoma Detection from Retinal Images Using Statistical and Textural Wavelet Features
Glaucoma is a silent progressive eye disease that is among the leading causes of irreversible blindness. Early detection and proper treatment of...
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Novel GTF2I–PDGFRB and IKZF1–TYW1 fusions in pediatric leukemia with normal karyotype
BackgroundMany cases of acute lymphoblastic leukemia (ALL) carry visible acquired chromosomal changes of pathogenetic, diagnostic, and prognostic...
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Speech Perception with Spectrally Non-overlap** Maskers as Measure of Spectral Resolution in Cochlear Implant Users
Poor spectral resolution contributes to the difficulties experienced by cochlear implant (CI) users when listening to speech in noise. However,...
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Denoising Brain Images with the Aid of Discrete Wavelet Transform and Monarch Butterfly Optimization with Different Noises
The aim of this paper is to denoise the high noise density image proficiently with minimal computation cost using various techniques. This paper...
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Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study
PurposeTo evaluate the ability of MRI radiomics to categorize ovarian masses and to determine the association between MRI radiomics and survival...
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An Automatic Parameter Decision System of Bilateral Filtering with GPU-Based Acceleration for Brain MR Images
Bilateral filters have been extensively utilized in a number of image denoising applications such as segmentation, registration, and tissue...
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Quantitative measures of EEG for prediction of outcome in cardiac arrest subjects treated with hypothermia: a literature review
Cardiac arrest (CA) is the leading cause of death and disability in the United States. Early and accurate prediction of CA outcome can help...