Results 31 to 40 of about 158,997 (257)
PLoS ONE, 2013 Deep vein thrombosis is one of the common complications of orthopedic surgery. Studies indicated that genetic factors played a considerable role in the pathogenesis of deep vein thrombosis.
Jizheng Qin +7 more
doaj +1 more source
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend [PDF]
arXiv, 2022 Finger vein image recognition technology plays an important role in biometric recognition and has been successfully applied in many fields. Because veins are buried beneath the skin tissue, finger vein image recognition has an unparalleled advantage, which is not easily disturbed by external factors. This review summarizes 46 papers about deep learning
arxiv
СОВРЕМЕННЫЙ ПОДХОД В ЛЕЧЕНИИ ОСТРОГО ТРОМБОЗА ГЛУБОКИХ ВЕН ПРЕПАРАТОМ РИВАРОКСАБАН
Архивъ внутренней медицины, 2015 Aim of prospective clinical study was to evaluate effectiveness, safety and convenience of treatment deep vein thrombosis with oral anticoagulant — Rivaroxaban from the 1st day of treatment.
Е. П. Кривощеко в +1 more
doaj +1 more source
A deep ensemble learning method for single finger-vein identification
Frontiers in Neurorobotics, 2023 Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition.
Chongwen Liu +9 more
doaj +1 more source
Artificial Neural Networks for Finger Vein Recognition: A Survey [PDF]
arXiv, 2022 Finger vein recognition is an emerging biometric recognition technology. Different from the other biometric features on the body surface, the venous vascular tissue of the fingers is buried deep inside the skin. Due to this advantage, finger vein recognition is highly stable and private.
arxiv
Venous Thromboembolism in Denmark: Seasonality in Occurrence and Mortality
TH Open, 2019 Background Many cardiovascular conditions exhibit seasonality in occurrence and mortality, but little is known about the seasonality of venous thromboembolism.
Nils Skajaa +5 more
doaj +1 more source
Clinics, 2012 OBJECTIVE: To evaluate the association between tourniquet and total operative time during total knee arthroplasty and the occurrence of deep vein thrombosis.
Arnaldo José Hernandez +3 more
doaj +1 more source
arXiv, 2022 Irregular-shaped texts bring challenges to Scene Text Detection (STD). Although existing contour point sequence-based approaches achieve comparable performances, they fail to cover some highly curved ribbon-like text lines. It leads to limited text fitting ability and STD technique application.
arxiv
Learning to Address Intra-segment Misclassification in Retinal Imaging [PDF]
, 2021 Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity. Segmenting retinal blood vessels in retinal photographs is one such scenario, in which arteries and veins need to be identified and differentiated from each other and from the background.
arxiv +1 more source
Dysregulated Coagulation in Parkinson’s Disease
CellsParkinson’s disease (PD), a prevalent neurodegenerative disorder characterized by dopaminergic neuron degeneration and α-synuclein accumulation, has been increasingly associated with coagulation dysfunction.
Xinqing Wang +7 more
doaj +1 more source