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Framing the fallibility of Computer-Aided Detection aids cancer detection
Computer-Aided Detection (CAD) has been proposed to help operators search for cancers in mammograms. Previous studies have found that although...
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A review on computer aided detection and classification of leukemia
Leukemia is a non-tumor type of cancer and its early diagnosis is important in the treatment and prognosis. Image based diagnosis is quick and easy...
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Computer-aided detection of arrhythmogenic sites in post-ischemic ventricular tachycardia
Nowadays, catheter-based ablation in patients with post-ischemic ventricular tachycardia (VT) is performed in arrhythmogenic sites identified by...
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Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches
The infectious disease Covid-19 has been causing severe social, economic, and human suffering across the globe since 2019. The countries have...
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Computer-aided system for bleeding detection in WCE images based on CNN-GRU network
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate gastrointestinal diseases such as hemorrhage, ulcer, and...
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Computer aided diagnosis using Harris Hawks optimizer with deep learning for pneumonia detection on chest X-ray images
Pneumonia is an infectious disease which causes ulcers of the lungs and remains a significant reason for mortality among children and the elderly...
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Real-time colorectal polyp detection using a novel computer-aided detection system (CADe): a feasibility study
Background and aimsColonoscopy aims to early detect and remove precancerous colorectal polyps, thereby preventing development of colorectal cancer...
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Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening
ObjectiveAn increasing number of commercial deep learning computer-aided detection (DL-CAD) systems are available but their cost-saving potential is...
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Improving model fairness in image-based computer-aided diagnosis
Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of...
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Incorporation of CAD (computer-aided detection) with thin-slice lung CT in routine 18F-FDG PET/CT imaging read-out protocol for detection of lung nodules
ObjectiveTo evaluate the detection rate and performance of 18F-FDG PET alone (PET), the combination of PET and low-dose thick-slice CT (PET/lCT), PET...
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Examining the effectiveness of a deep learning-based computer-aided breast cancer detection system for breast ultrasound
PurposeThis study aimed to evaluate the clinical usefulness of a deep learning-based computer-aided detection (CADe) system for breast ultrasound.
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Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight
Breast Cancer, with an expected 42,780 deaths in the US alone in 2024, is one of the most prevalent types of cancer. The death toll due to breast...
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Recent metaheuristic algorithms for medical object localization using MSER detector in computer-aided diagnosis system
Object localization is a critical task in image analysis, often facilitated by artificial intelligence techniques. While the Maximally Stable...
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A new computer-aided diagnosis tool based on deep learning methods for automatic detection of retinal disorders from OCT images
PurposeEarly detection of retinal disorders using optical coherence tomography (OCT) images can prevent vision loss. Since manual screening can be...
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Neuro-evolutional based computer aided detection system on computed tomography for the early detection of lung cancer
Lung cancer is one of the highest deadly disease which can be treated effectively in its early stage. Computer aided detection (CADe) can detect...
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Least complex oLSVN-based computer-aided healthcare system for brain tumor detection using MRI images
Brain tumors are the most common and vigorous cause of death in the modern era. The medical community is working hard to develop effective methods to...
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Localization-adjusted diagnostic performance and assistance effect of a computer-aided detection system for pneumothorax and consolidation
While many deep-learning-based computer-aided detection systems (CAD) have been developed and commercialized for abnormality detection in chest...
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Computer-Aided Classification of Melanoma: A Comprehensive Survey
The prevalence of skin cancer has been increasing for the last few decades. Abnormal growth of cells forms skin lesions, which if not treated at the...
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Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning
The human brain has a complicated structure, making it difficult to diagnose any brain ailments, particularly when they affect important parts of the...
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Applicability of artificial intelligence-based computer-aided detection (AI–CAD) for pulmonary tuberculosis to community-based active case finding
BackgroundArtificial intelligence-based computer-aided detection (AI–CAD) for tuberculosis (TB) has become commercially available and several studies...
