Results 251 to 260 of about 3,341,187 (271)

Mechanical thrombectomy and catheter directed thrombolysis utilization in patients with deep vein thrombosis: Analysis of a database of a tertiary hospital. [PDF]

J Vasc Surg Venous Lymphat Disord
Kuperin A, Seliverstov E, An E, Lebedev I, Zolotukhin I.   +4 more
europepmc   +1 more source

Anatomical insights into the median septum on soleal vein network and deep vein thrombosis risk. [PDF]

Thromb J
Tabira Y, Iwanaga J, Tanaka S, Kikuchi K, Shimizu K, Harano T, Han A, Haikata Y, Inoue E, Saga T, Tubbs RS, Watanabe K.   +11 more
europepmc   +1 more source

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Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network

IEEE Transactions on Instrumentation and Measurement, 2022
Even though the deep neural networks have strong feature representation capability and high recognition accuracy in finger vein recognition, the deep models are computationally intensive and poor in timeliness.
Jiaquan Shen, Ningzhong Liu, Cheng Xu, Han Sun, Yushun Xiao, Deguang Li, Yongxin Zhang   +6 more
semanticscholar   +1 more source

Diagnostic efficacy of impedance plethysmography for clinically suspected deep-vein thrombosis. A randomized trial.

Annals of Internal Medicine, 2020
Impedance plethysmography is an accurate noninvasive method to test for proximal vein thrombosis, but it is insensitive to calf-vein thrombi. We randomly assigned patients on referral with clinically suspected deep-vein thrombosis and normal impedance ...
R. Hull, J. Hirsh, C. Carter, R. Jay, P. Ockelford, H. Büller, A. Turpie, P. Powers, Denise H. Kinch, P. E. Dodd, G. Gill, J. Leclerc, M. Gent   +12 more
semanticscholar   +1 more source

Deep Vein Thrombosis in Hospitalized Patients with Coronavirus Disease 2019 (COVID-19) in Wuhan, China: Prevalence, Risk Factors, and Outcome.

Circulation, 2020
Background: To investigate deep vein thrombosis (DVT) in hospitalized patients with coronavirus disease 2019 (COVID-19), we performed a single institutional study to evaluate its prevalence, risk factors, prognosis, and potential thromboprophylaxis ...
Li Zhang, Xiaokai Feng, Danqing Zhang, Chun-guo Jiang, H. Mei, Jing Wang, Cuihong Zhang, Hong Li, X. Xia, Shuangshuang Kong, Jia Liao, Huijun Jia, Xueqin Pang, Yue Song, Ying Tian, Bin Wang, Chun Wu, Hongliang Yuan, Yongxing Zhang, Yuman Li, Wei Sun, Yanting Zhang, Shuangshuang Zhu, Shuyuan Wang, Yuji Xie, S. Ge, Liming Zhang, Yu Hu, M. Xie   +28 more
semanticscholar   +1 more source

Deep Learning for Plant Species Classification Using Leaf Vein Morphometric

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
An automated plant species identification system could help botanists and layman in identifying plant species rapidly. Deep learning is robust for feature extraction as it is superior in providing deeper information of images. In this research, a new CNN-
J. Tan, Siow-Wee Chang, S. Abdul-kareem, H. Yap, K. Yong   +4 more
semanticscholar   +1 more source

On-the-Fly Finger-Vein-Based Biometric Recognition Using Deep Neural Networks

IEEE Transactions on Information Forensics and Security, 2020
Finger-vein-based biometric recognition technology has recently attracted the attention of both academia and industry because of its robustness against presentation attacks and the convenience of the acquisition process.
R. Kuzu, Emanuela Piciucco, E. Maiorana, P. Campisi   +3 more
semanticscholar   +1 more source

Deep vein thrombosis: update on diagnosis and management

Medical Journal of Australia, 2019
Diagnosis of deep vein thrombosis (DVT) requires a multifaceted approach that includes clinical assessment, evaluation of pre‐test probability, and objective diagnostic testing.
Paul C Kruger, J. Eikelboom, J. Douketis, G. Hankey   +3 more
semanticscholar   +1 more source

Deep vein thrombosis and venous thromboembolism in trauma

Current Opinion in Anaesthesiology, 2018
Purpose of review Deep vein thrombosis (DVT) and pulmonary embolus are major causes of hospital-related morbidity and mortality, and are recognized as complications in patients with traumatic injury.
K. Ruskin
semanticscholar   +1 more source