AIMC Topic: Venules

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Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer.

International immunopharmacology Jun 1, 2024
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment of bladder cancer (BCa) patients remains challenging. While immunotherapy has emerged as a promising approach, its benefits are limited to a subset o...
Gene Expression Profiling Transcriptome Biomarkers, Tumor Animals Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Venules Mice Immunotherapy Humans Algorithms Prognosis Machine Learning
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LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images.

Physiological measurement May 3, 2024
This study aims to automate the segmentation of retinal arterioles and venules (A/V) from digital fundus images (DFI), as changes in the spatial distribution of retinal microvasculature are indicative of cardiovascular diseases, positioning the eyes ...
Humans Deep Learning Venules Retinal Vessels Arterioles Image Processing, Computer-Assisted Fundus Oculi
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Automated detection of vascular remodeling in tumor-draining lymph nodes by the deep-learning tool HEV-finder.

The Journal of pathology Jul 12, 2022
Vascular remodeling is common in human cancer and has potential as future biomarkers for prediction of disease progression and tumor immunity status. It can also affect metastatic sites, including the tumor-draining lymph nodes (TDLNs). Dilation of t...
Breast Neoplasms Deep Learning Humans Female Venules Lymph Nodes Vascular Remodeling
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Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules.

BioMed research international Apr 14, 2019
The arterioles and venules (AV) classification of retinal vasculature is considered as the first step in the development of an automated system for analysing the vasculature biomarker association with disease prognosis. Most of the existing AV classi...
Neural Networks, Computer Arterioles Algorithms Deep Learning Venules Biomarkers Retinal Vessels Humans
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Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort.

Computers in biology and medicine Sep 8, 2017
The morphometric characteristics of the retinal vasculature are associated with future risk of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in some of these...
Retinal Vessels Male Arterioles Middle Aged Databases, Factual United Kingdom Image Processing, Computer-Assisted Female Optic Disk Biological Specimen Banks Humans Cohort Studies Venules Neural Networks, Computer
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Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning.

Cardiovascular research Jan 29, 2022
AIMS: Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine lea...
Heart Disease Risk Factors Photic Stimulation Arterioles Venules Retinal Vessels Light Vasodilation Signal Processing, Computer-Assisted Workflow Humans Machine Learning Aged Male Female Treatment Outcome Risk Assessment Kidney Failure, Chronic Predictive Value of Tests Cluster Analysis Renal Dialysis Cause of Death Cardiovascular Diseases Middle Aged
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