AIMC Topic: Capillaries
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Application of an artificial intelligence for quantitative analysis of endothelial capillary beds in vitro.
Clinical hemorheology and microcirculation
Jan 1, 2024
BACKGROUND: The use of endothelial cell cultures has become fundamental to study angiogenesis. Recent advances in artificial intelligences (AI) offer opportunities to develop automated assessment methods in medical research, analyzing larger datasets...
Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies.
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Nov 30, 2023
BACKGROUND: Interstitial inflammation and peritubular capillaritis are observed in many diseases on native and transplant kidney biopsies. A precise and automated evaluation of these histological criteria could help stratify patients' kidney prognose...
A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary images.
Rheumatology (Oxford, England)
Jun 1, 2023
OBJECTIVES: Nailfold capillaroscopy is key to timely diagnosis of SSc, but is often not used in rheumatology clinics because the images are difficult to interpret. We aimed to develop and validate a fully automated image analysis system to fill this ...
Spatiotemporal absorption fluctuation imaging based on U-Net.
Journal of biomedical optics
Feb 1, 2022
SIGNIFICANCE: Full-field optical angiography is critical for vascular disease research and clinical diagnosis. Existing methods struggle to improve the temporal and spatial resolutions simultaneously.
INTERMEDIATE AND DEEP CAPILLARY PLEXUSES IN MACHINE LEARNING SEGMENTATION OF HIGH-RESOLUTION OPTICAL COHERENCE TOMOGRAPHY IMAGING.
Retina (Philadelphia, Pa.)
Jun 1, 2021
PURPOSE: To describe imaging produced by machine learning-based segmentation of high-resolution optical coherence tomography imaging of the intermediate capillary plexus and deep capillary plexus, layers of vessels not imaged well by dye-based angiog...
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