AIMC Topic: Veins

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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold.

Sensors (Basel, Switzerland) Apr 3, 2025
Currently, finger vein recognition (FVR) stands as a pioneering biometric technology, with convolutional neural networks (CNNs) and Transformers, among other advanced deep neural networks (DNNs), consistently pushing the boundaries of recognition acc...
Humans Neural Networks, Computer Action Potentials Algorithms Neurons Fingers Veins Deep Learning Convolutional Neural Networks Support Vector Machine
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A Near-Infrared Imaging System for Robotic Venous Blood Collection.

Sensors (Basel, Switzerland) Nov 20, 2024
Venous blood collection is a widely used medical diagnostic technique, and with rapid advancements in robotics, robotic venous blood collection has the potential to replace traditional manual methods. The success of this robotic approach is heavily d...
Veins Image Processing, Computer-Assisted Robotics Blood Specimen Collection Neural Networks, Computer Humans Algorithms
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Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition.

Sensors (Basel, Switzerland) Sep 20, 2024
Finger vein (FV) biometrics have garnered considerable attention due to their inherent non-contact nature and high security, exhibiting tremendous potential in identity authentication and beyond. Nevertheless, challenges pertaining to the scarcity of...
Humans Neural Networks, Computer Algorithms Databases, Factual Veins Image Processing, Computer-Assisted Fingers Biometric Identification
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Decoupling visual and identity features for adversarial palm-vein image attack.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2024
Palm-vein has been widely used for biometric recognition due to its resistance to theft and forgery. However, with the emergence of adversarial attacks, most existing palm-vein recognition methods are vulnerable to adversarial image attacks, and to t...
Image Processing, Computer-Assisted Hand Biometric Identification Humans Veins Neural Networks, Computer Algorithms
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Vein pattern visualisation for biometric identification with cGAN on a New Zealand dataset.

Forensic science international May 10, 2024
Forensic identification using vein patterns in standard colour images presents significant challenges due to their low visibility. Recent efforts have employed various computational techniques, including artificial neural networks and optical vein di...
Adolescent Image Processing, Computer-Assisted Color New Zealand Adult Male Middle Aged Datasets as Topic Biometric Identification Veins Humans Aged Young Adult Neural Networks, Computer Female
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Vein segmentation and visualization of upper and lower extremities using convolution neural network.

Biomedizinische Technik. Biomedical engineering Apr 24, 2024
OBJECTIVES: The study focused on developing a reliable real-time venous localization, identification, and visualization framework based upon deep learning (DL) self-parametrized Convolution Neural Network (CNN) algorithm for segmentation of the venou...
Upper Extremity Veins Deep Learning Image Processing, Computer-Assisted Lower Extremity Humans Neural Networks, Computer Algorithms
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Predicting recurrent interventions after radiocephalic arteriovenous fistula creation with machine learning and the PREDICT-AVF web app.

The journal of vascular access Dec 25, 2023
OBJECTIVE: Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines discourage ongoing access salvage attempts after two interventions prior to successful use or more than three interventions per year overall. The goal was to develop a tool for ...
Female Risk Factors Aged Middle Aged Risk Assessment Adult Male Machine Learning Decision Support Techniques Canada Radial Artery Renal Dialysis Humans Prospective Studies Treatment Outcome United States Time Factors Recurrence Predictive Value of Tests Upper Extremity Clinical Decision-Making Mobile Applications Graft Occlusion, Vascular Arteriovenous Shunt, Surgical Veins Vascular Patency
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Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses.

The journal of vascular access Mar 9, 2023
BACKGROUND: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultr...
Adult Male Clinical Competence Time Factors Humans Artificial Intelligence Forearm Female Punctures Veins Cross-Over Studies Catheterization, Peripheral Image Interpretation, Computer-Assisted Predictive Value of Tests Automation Ultrasonography, Interventional
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A multi-task convolutional neural network for classification and segmentation of chronic venous disorders.

Scientific reports Jan 14, 2023
Chronic Venous Disorders (CVD) of the lower limbs are one of the most prevalent medical conditions, affecting 35% of adults in Europe and North America. Due to the exponential growth of the aging population and the worsening of CVD with age, it is ex...
Aged Veins Europe Cardiovascular Diseases Humans North America Image Processing, Computer-Assisted Chronic Disease Neural Networks, Computer
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Finger Vein Verification on Different Datasets Based on Deep Learning with Triplet Loss.

Computational and mathematical methods in medicine Oct 20, 2022
In this study, deep learning and triplet loss function methods are used for finger vein verification research, and the model is trained and validated between different kinds of datasets including FV-USM, HKPU, and SDUMLA-HMT datasets. This work gives...
Veins Humans Deep Learning ROC Curve
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