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Deep learning-based speech analysis for Alzheimer’s disease detection: a literature review
BackgroundAlzheimer’s disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the...
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CAD system for lung nodule detection using deep learning with CNN
The early detection of pulmonary nodules using computer-aided diagnosis (CAD) systems is very essential in reducing mortality rates of lung cancer....
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Computer-Aided Prediction of Protein Mitochondrial Localization
Protein sequences, directly translated from genomic data, need functional and structural annotation. Together with molecular function and biological... -
PE-Ynet: a novel attention-based multi-task model for pulmonary embolism detection using CT pulmonary angiography (CTPA) scan images
Pulmonary Embolism (PE) has diverse manifestations with different etiologies such as venous thromboembolism, septic embolism, and paradoxical...
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Optimizing feature subset for schizophrenia detection using multichannel EEG signals and rough set theory
Schizophrenia (SZ) is a mental disorder that causes lifelong disorders based on delusions, cognitive deficits, and hallucinations. By visual...
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Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors
Tuberculosis (TB) remains one of the major health problems in modern times with a high mortality rate. While efforts are being made to make early...
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Powering Toxicogenomic Studies by Applying Machine Learning to Genomic Sequencing and Variant Detection
Since the advent of massively parallel high-throughput sequencing, also known as next-generation sequencing (NGS), the cost of DNA sequencing has... -
Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson’s disease
Parkinson’s disease (PD) is a common, progressive, and currently incurable neurodegenerative movement disorder. The diagnosis of PD is challenging,...
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Sensitivity investigation of open-ended coaxial probe in skin cancer detection
Open-ended coaxial probe method is one of the most common modalities in measuring dielectric properties (DPs) of biological tissues. Due to the...
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Computer-Aided Design of Active Pseudoknotted Hammerhead Ribozymes
Pseudoknots are important motifs for stabilizing the structure of functional RNAs. As an example, pseudoknotted hammerhead ribozymes are highly... -
Recent Developments in Cancer Detection and Treatment
Cancer is a major cause of death worldwide, with over ten million fatalities reported each year. Common cancer treatments involve surgical... -
Automated detection of nine infantile fundus diseases and conditions in retinal images using a deep learning system
PurposeWe developed an Infant Retinal Intelligent Diagnosis System (IRIDS), an automated system to aid early diagnosis and monitoring of infantile...
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Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram
For computer-aided diagnosis (CAD), detection, segmentation, and classification from medical imagery are three key components to efficiently assist... -
Migraine detection from EEG signals using tunable Q-factor wavelet transform and ensemble learning techniques
Migraine is one of the major neurovascular diseases that recur, can persist for a long time, cripple or weaken the brain. This study uses...
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Automatic detection of Parkinson’s disease from power spectral density of electroencephalography (EEG) signals using deep learning model
Parkinson’s disease (PD) is characterized by slowed movements, speech disorders, an inability to control muscle movements, and tremors in the hands...
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Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier
Millions of people around the world are affected by arrhythmias, which are abnormal activities of the functioning of the heart. Most arrhythmias are...
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An Integrated Computer-Aided Design and Manufacturing Workflow for Synthetic Biology
Biological computer-aided design and manufacturing (bioCAD/CAM) tools facilitate the design and build processes of engineering biological systems... -
An improved YOLO Nano model for dorsal hand vein detection system
To date, venipuncture, the most necessary and fundamental medical means, still remains a challenging task for medical stuff due to significant...
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Myocardial infarction detection using ITD, DWT and deterministic learning based on ECG signals
Nowadays, cardiovascular diseases (CVD) is one of the prime causes of human mortality, which has received tremendous and elaborative research...
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Automated Behavior Analysis Using a YOLO-Based Object Detection System
Object detection methods employing convolutional neural networks have fueled the development of automated behavior analysis, which is traditionally...