Results 41 to 50 of about 158,997 (257)

CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography [PDF]

, 2022
Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high spatio-temporal resolution. Automatic artery-vein segmentation in DSA plays a fundamental role in vascular analysis with quantitative biomarker extraction, facilitating a ...
arxiv   +1 more source

Fully Automated Binary Pattern Extraction For Finger Vein Identification using Double Optimization Stages-Based Unsupervised Learning Approach [PDF]

arXiv, 2022
Today, finger vein identification is gaining popularity as a potential biometric identification framework solution. Machine learning-based unsupervised, supervised, and deep learning algorithms have had a significant influence on finger vein detection and recognition at the moment.
arxiv  

Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein [PDF]

arXiv, 2023
Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residual blocks, which gives an accuracy of 0.9932.
arxiv  

Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells

FEBS Letters, EarlyView.
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga, Kazuki Harada, Takuya Yamauchi, Tetsuya Kitaguchi, Masami Yokota Hirai, Mitsuharu Matsumoto, Takashi Tsuboi   +6 more
wiley   +1 more source

N-shot Palm Vein Verification Using Siamese Networks [PDF]

arXiv, 2021
The use of deep learning methods to extract vascular biometric patterns from the palm surface has been of interest among researchers in recent years. In many biometric recognition tasks, there is a limit in the number of training samples. This is because of limited vein biometric databases being available for research. This restricts the application of
arxiv  

Identification of novel small molecule inhibitors of ETS transcription factors

FEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla, Zary Forghany, Jin Ma, Johan G. Hollander, Ruta Nachane, Karoly Szuhai, Pancras C. W. Hogendoorn, Peter ten Dijke, Dipen Shah, David A. Baker   +9 more
wiley   +1 more source

Risk stratification and contributing factors of deep vein thrombosis among patients admitted at Debre Markos comprehensive specialized hospital, Ethiopia in 2024

Frontiers in Medicine
IntroductionDeep vein thrombosis is a serious condition and a leading cause of morbidity and mortality in hospitalized patients. Studies conducted in various hospitals in Ethiopia have reported that the prevalence rates of deep vein thrombosis range from
Haymanot Zeleke Mitiku, Birtukan Assefa Addis, Afework Edmealem, Dejen Tsegaye, Yalemgeta Biyazin, Abebe Abate   +5 more
doaj   +1 more source

The Incidence of Deep Vein Thrombosis after Hip and Knee Arthroplasties in Japanese Patients: A Prospective Study

Journal of Orthopaedic Surgery, 2003
Purpose. To document the incidence of proximal deep vein thrombosis and pulmonary embolism in 58 consecutive Japanese patients undergoing total hip arthroplasty or total knee arthroplasty. Methods.
A Sudo, T Sano, K Horikawa, T Yamakawa, D Shi, A Uchida   +5 more
doaj   +1 more source

Joint segmentation and classification of retinal arteries/veins from fundus images [PDF]

Artificial Intelligence in Medicine, Volume 94, 2019, Pages 96-109, ISSN 0933-3657, 2019
Objective Automatic artery/vein (A/V) segmentation from fundus images is required to track blood vessel changes occurring with many pathologies including retinopathy and cardiovascular pathologies. One of the clinical measures that quantifies vessel changes is the arterio-venous ratio (AVR) which represents the ratio between artery and vein diameters ...
arxiv   +1 more source

A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini, Ezgi Oner, Mark P. Ward, Sinead Hurley, Brian David Henderson, Faye Lewis, Stephen P. Finn, Gerard J. Fitzmaurice, John J. O'Leary, Sharon O'Toole, Lorraine O'Driscoll, Kathy Gately   +11 more
wiley   +1 more source