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Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover
BackgroundThe wide heterogeneity in the appearance of breast lesions and normal breast structures can confuse computerized detection algorithms. Our...
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Computer-Aided Drug Design
Computer-Aided Drug Design topic deals with the application of computer hardware and software to provide solutions at every stage of drug discovery....
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Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning
AbstractBlindness is preventable by early detection of ocular abnormalities. Computer-aided diagnosis for ocular abnormalities is built by analyzing...
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Epileptic seizure focus detection from interictal electroencephalogram: a survey
Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the localization of epileptic focus. Most current AI solutions...
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A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique
AbstractDiabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without any alarm. Therefore, it is essential to scan and...
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Brain–Computer Interfaces
In the past decades, brain–computer interfaces (BCIs) have been among the fastest-growing technologies and a very prolific research field. Typically,...
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LGDNet: local feature coupling global representations network for pulmonary nodules detection
AbstractDetection of suspicious pulmonary nodules from lung CT scans is a crucial task in computer-aided diagnosis (CAD) systems. In recent years,...
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ThoraciNet: thoracic abnormality detection and disease classification using fusion DCNNs
Chest X-rays are arguably the de facto medical imaging technique for diagnosing thoracic abnormalities. Chest X-ray analysis is complex, especially...
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Computer-aided diagnosis based on hand thermal, RGB images, and grip force using artificial intelligence as screening tool for rheumatoid arthritis in women
Rheumatoid arthritis (RA) is an autoimmune disorder that typically affects people between 23 and 60 years old causing chronic synovial inflammation,...
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Automatic detection of symmetry plane for computer-aided surgical simulation in craniomaxillofacial surgery
AbstractSymmetry plane calculation is used in fracture reduction or reconstruction in the midface. Estimating a reliable symmetry plane without...
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Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset
BackgroundCT is the major detection tool for pancreatic cancer (PC). However, approximately 40% of PCs < 2 cm are missed on CT, underscoring a...
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DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection
With the advancement of artificial intelligence, CNNs have been successfully introduced into the discipline of medical data analyzing. Clinically,...
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Pectoral muscle removal in mammogram images: A novel approach for improved accuracy and efficiency
PurposeAccurate pectoral muscle removal is critical in mammographic breast density estimation and many other computer-aided algorithms. We propose a...
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Reproducibility and Objective Control in Computer Measurement of Fusion Reserves
Fusion reserves (FR) are among the main indicators of the stable operation of the fusion mechanisms which make up the physiological basis of...
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Ada-GridRF: A Fast and Automated Adaptive Boost Based Grid Search Optimized Random Forest Ensemble model for Lung Cancer Detection
Lung cancer is considered one of the leading causes of death all across the world. Various radiology-related fields increasingly have used...
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Pulmonary nodule detection based on IR-UNet + +
Lung cancer is one of the cancers with the highest incidence rate and death rate worldwide. An initial lesion of the lung appears as nodules in the...
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Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning
Non-invasive imaging methods for detecting intratumoural viral spread and host responses to oncolytic virotherapy are either slow, lack specificity...
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Multiple instance learning for lung pathophysiological findings detection using CT scans
Lung diseases affect the lives of billions of people worldwide, and 4 million people, each year, die prematurely due to this condition. These...
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Automated detection and localization of pericardial effusion from point-of-care cardiac ultrasound examination
Focused Assessment with Sonography in Trauma (FAST) exam is the standard of care for pericardial and abdominal free fluid detection in emergency...
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LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Alzheimer’s disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortality rate, worsened by error-prone, time-intensive,...
