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Veins

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LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.

Journal of clinical hypertension (Greenwich, Conn.)
Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS) steroid analysis in primary aldosteronism (PA), we aimed to investigate its diagnostic utility in PA classification and to characterize steroid secr...

A multi-task convolutional neural network for classification and segmentation of chronic venous disorders.

Scientific reports
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...

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
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...

Vein segmentation and visualization of upper and lower extremities using convolution neural network.

Biomedizinische Technik. Biomedical engineering
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...

Vein pattern visualisation for biometric identification with cGAN on a New Zealand dataset.

Forensic science international
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...

Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition.

Sensors (Basel, Switzerland)
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...

Decoupling visual and identity features for adversarial palm-vein image attack.

Neural networks : the official journal of the International Neural Network Society
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...

A Near-Infrared Imaging System for Robotic Venous Blood Collection.

Sensors (Basel, Switzerland)
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...

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

Sensors (Basel, Switzerland)
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...