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Object Classification Awareness and Tubular Focal Loss for Hepatic Veins Segmentation
Hepatic vein segmentation is an important prerequisite for hepatic vascular diagnosis and liver neoplasms surgical planning. In computed tomography...
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A Review on Heart Diseases Using Machine Learning and Deep Learning Techniques
Heart disease is one of today’s major issues, as well as one of the main causes of mortality globally. Electrocardiogram (ECG) and patient data may...
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Named Entity Recognition of PCI Surgery Information Based on BERT+BiLSTM+CRF
Percutaneous coronary intervention (PCI) is a vital treatment method for coronary artery disease, but the unstructured nature of its clinical data...
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Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study
BackgroundCoronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical...
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CAD Diagnosis by Predicting Stenosis in Arteries Using Data Mining Process
Coronary artery disease (CAD) is the most common cardiovascular disease, causing death all over the world. An invasive method, angiography, is used...
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Early Detection of Coronary Artery Disease Using PSO-Based Neuroevolution Model
There are a large number of causes of morbidness over the world population, and cardiovascular disease is one of the top reasons among them. During...
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Nuclear proteins and diabetic retinopathy: a review
Diabetic retinopathy (DR) is an eye disease that causes blindness and vision loss in diabetic. Risk factors for DR include high blood glucose levels...
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Evaluation of Electrocardiographic Leads Using Conventional ST-Segment Depression and ST-Segment Depression/Heart Rate Hysteresis for Diagnosing of Coronary Artery Disease in Women Population: The Finnish Cardiovascular Study
Studies have shown that ST-segment depression/heart rate (ST/HR) hysteresis improves the limited diagnosing accuracy of exercise electrocardiography...
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Brief Review on Recent Advancement of Computational Analysis on Hemodynamics in Peripheral Artery Disease
Peripheral Artery Disease (PAD) occurs due to presence of atherosclerotic plaque in blood vessels which reduce the blood flow to extremities at lower...
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Classification of Non-proliferative Diabetic Retinopathy in Terms of Dark and Bright Lesions Using Multi-layered Perceptron (MLP)
Damage to the blood vessels in the retina due to diabetes is called diabetic retinopathy. The inability to keep blood sugar levels under control....
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Effect of endovascular angioplasty in the treatment of early thrombosis of artificial vascular arteriovenous fistula based on medical image detection
In the aspect of vascular segmentation detection, medical image detection technology can automatically identify and segment vascular areas through...
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Assessment of the functional severity of coronary lesions from optical coherence tomography based on ensembled learning
BackgroundAtherosclerosis is one of the most frequent cardiovascular diseases. The dilemma faced by physicians is whether to treat or postpone the...
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A super-resolution method-based pipeline for fundus fluorescein angiography imaging
BackgroundFundus fluorescein angiography (FFA) imaging is a standard diagnostic tool for many retinal diseases such as age-related macular...
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Flow Visualizations in a PDMS Cerebral Aneurysm Biomodel
Cerebral aneurysm is an abnormal dilatation of the blood vessel which affects a high percentage of the worldwide population. One way to investigate...
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Vessel Segmentation and Stenosis Quantification from Coronary X-Ray Angiograms
Angiography is the gold standard for diagnosis and interventional treatment of vascular pathologies, especially for stenosis, in many hospitals...
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Control System for Diagnostic Apparatus of Angiocoronarography
This article discusses the process of develo** a control system for a diagnostic apparatus for carrying out the procedure of angiocoronary...
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Reconstruction of Patient-Specific Cerebral Aneurysm Model Through Image Segmentation
The diagnostic assessment of cerebrovascular disease makes use of computational simulation as a predicting tool to determine hemodynamics factor...
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Computational modeling and simulation for endovascular embolization of cerebral arteriovenous malformations with liquid embolic agents
Endovascular embolization of arteriovenous malformations (AVMs) in the brain usually requires injecting liquid embolic agents (LEAs) to reduce blood...
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Intelligent Method for Detection of Coronary Artery Disease with Ensemble Approach
Coronary artery is a major reason of health ailments all over the world. Its detection and management incurred huge amount of deaths across the...