Results 51 to 60 of about 17,546 (162)
As the use of robotic-assisted surgery systems continue to increase, highly accurate and timely efficient automatic vasculature detection techniques for large and thin vessels in the retinal images are needed.
Temitope Mapayi +2 more
doaj +1 more source
Swarm Intelligence Techniques in Segmenting Human Retinal Vasculature
Vasculature of human retina furnishes information concerning various eye related ailments and also assists in lesions detection. Severity of the eye diseases can be discerned from pathological conditions related to changes in the retinal vasculature. In this work, for pre-processing, Contrast Limited Adaptive Histogram Equalization (CLAHE) and average ...
Dr .A. Anitha, Dr. T. Sridevi
openaire +1 more source
Microendoscopy of the Anterior Segment Vasculature in the Rabbit Eye
Intraocular microendoscopy is introduced as a new method which allows a direct in vivo observation of the microvasculature of the eye. Using video equipment, a quantitative evaluation of changes in vessel diameters, e.g. after administration of vasoactive agents, and an estimation of blood oxygenation are possible. Experimental studies with fluorescent
R, Funk, J W, Rohen
openaire +2 more sources
PurposePrecise quantification of cerebral arteries can help with differentiation and prognostication of cerebrovascular disease. Existing image processing and segmentation algorithms for magnetic resonance angiography (MRA) are limited to the analysis of
Sivakami Avadiappan +6 more
doaj +1 more source
A Versatile Pipeline for High-fidelity Imaging and Analysis of Vascular Networks Across the Body
Structural and functional changes in vascular networks play a vital role during development, causing or contributing to the pathophysiology of injury and disease.
Stephen Vidman +2 more
doaj +1 more source
A Review on Segmentation and Modeling of Cerebral Vasculature for Surgical Planning
Visualization of cerebral blood vessels is vital for stroke diagnosis and surgical planning. A suitable modality for the visualization of blood vessels is very important for the analysis of abnormalities of the cerebrovascular system, as it is the most ...
Azimah Ajam +5 more
doaj +1 more source
Eye and systemic diseases are known to manifest themselves in retinal vasculature. Segmentation of retinal vessel is one of the important steps in retinal image analysis. A simple unsupervised method based on Gabor wavelet and Multiscale Line Detector is
Syed Ayaz Ali Shah +4 more
doaj +1 more source
A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution. [PDF]
Li Y +8 more
europepmc +1 more source
Multi-perspective label based deep learning framework for cerebral vasculature segmentation in whole-brain fluorescence images. [PDF]
Li Y, Ren T, Li J, Li X, Li A.
europepmc +1 more source
Accurate cerebral vasculature segmentation using digital subtraction angiography (DSA) is critical for diagnosing and treating cerebrovascular diseases.
Taehun Hong +5 more
doaj +1 more source

