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Veins

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Quantifying saphenous recirculation in patients with primary lower extremity venous reflux.

Journal of vascular surgery. Venous and lymphatic disorders
BACKGROUND: The great saphenous vein (GSV) in patients with superficial venous insufficiency might act as a beneficial conduit for antegrade venous drainage and also as a harmful conduit for promotion of reflux and/or recirculation and subsequent ski...

Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Histological images have characteristics, such as texture, shape, colour and spatial structure, that permit the differentiation of each fundamental tissue and organ. Texture is one of the most discriminative features. The au...

[Palm vein recognition based on end-to-end convolutional neural network].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network. In this model, the convolutional layer and the pooling layer were alternately connected to extract the image features, and the categorical attribute ...

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.

NMR in biomedicine
The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We descr...

Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Urolithiasis
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' as...

Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network.

Sensors (Basel, Switzerland)
Devices and systems secured by biometric factors became a part of our lives because they are convenient, easy to use, reliable, and secure. They use information about unique features of our bodies in order to authenticate a user. It is possible to en...

Finger Vein Verification on Different Datasets Based on Deep Learning with Triplet Loss.

Computational and mathematical methods in medicine
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...

An improved YOLO Nano model for dorsal hand vein detection system.

Medical & biological engineering & computing
To date, venipuncture, the most necessary and fundamental medical means, still remains a challenging task for medical stuff due to significant individual differences in vein condition. Thanks to mature development in near-infrared (NIR) imaging techn...