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Convex Optimization for Binary Tree-Based Transport Networks
Optimizing transport networks is a well-known class of problems that have been extensively studied, with application in many domains. Here we are...
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Prediction of Cardio Vascular Diseases Using Calibrated Machine Learning Model
Cardio Vascular Disease (CVD) uncovers various conditions that influence Heart Attack and cause more death rates in the recent decades. It is the...
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Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension
The assessment of vascular complexity in the lower limbs provides relevant information about peripheral artery occlusive diseases (PAOD), thus...
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Geometric Deep Learning Vascular Domain Segmentation
For rupture risk assessment of intracranial aneurysms, 3D surface model extraction might be time-consuming but supports calculation of morphological...
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Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT
The segmentation of vascular systems is a challenging task since their sizes and structures vary greatly so that the spatial context becomes highly...
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Retinal Vascular Segmentation Based on Depth-Separable Convolution and Attention Mechanisms
Retinal vascular segmentation is an important research direction in the field of medical image processing, its main purpose is to automatically...
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Computer-aided diagnostic model for retinal vascular diseases using graph-based attention mechanism
Retinal vascular segmentation and classification plays a substantial role in predicting ocular pathologies in medical applications. This work aims in...
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Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing
PurposeUnderstanding early vascular ageing has become crucial for preventing adverse cardiovascular events. To this respect, recent AI-based risk...
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An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm
Visual observation and dermoscopic analysis are the most common methods of diagnosing skin cancer. In advanced stages, melanomas spread faster and...
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M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Accurate segmentation of the aortic vessel tree (AVT) in computed tomography angiography (CTA) is crucial for diagnosing and monitoring vascular...
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Decision Tree Fusion and Improved Fundus Image Classification Algorithm
In order to improve the effect of glaucoma fundus image classification, a new algorithm based on decision tree and UNet++ was proposed. Firstly, the...
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Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Personalised 3D vascular models are valuable for diagnosis, prognosis and treatment planning in patients with cardiovascular disease. Traditionally,...
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Dual-Tree Complex Wavelet Packet Transform Grounded HRV Analysis for Cardiac Risk Prediction
Heart rate variability (HRV) has received a lot of attention from scientists in recent years, especially as a method of assessing physical and mental...
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Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2)
Retinal images are often used to examine the vascular system in a non-invasive way. Studying the behavior of the vasculature on the retina allows for...
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Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA Images
Segmentation of the Aortic Vessel Tree (AVT) in the Computed Tomography Angiography (CTA) images is pivotal for the diagnosis and monitoring of the...
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Renal Cell Carcinoma Classification from Vascular Morphology
Renal Cell Carcinoma (RCC) is one of the most common malignancies, and pathological diagnosis is the gold standard for RCC diagnostic method....
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Predictive modeling and cognition to cardio-vascular reactivity through machine learning in Indian adults with sedentary and physically active lifestyle
Physical inactivity in youth is one of the major concerns in today’s world because the technological developments in various areas have made them...
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Supervised learning-based retinal vascular segmentation by M-UNet full convolutional neural network
The accurate vessel segmentation for retinal image is the most conducive to early diagnosis of various eye-related diseases. Most deep learning...
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Intraoperative CT Augmentation for Needle-Based Liver Interventions
This paper addresses the need for improved CT-guidance during needle-based liver procedures (i.e., tumor ablation), while reduces the need for...