Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

37
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
37
Development of Blood Vessels01:07

Development of Blood Vessels

675
The development of the vascular system in a fetus is a complex and intricate process that begins as early as 15 to 16 days post-conception. This process starts outside the embryo, specifically in the mesoderm of the yolk sac, chorion, and connecting stalk. Approximately two days later, the formation of blood vessels occurs within the embryo itself.
The initial formation of this system is facilitated by the small amount of yolk present in the ovum and yolk sac. Blood vessels originate from...
675
Anatomy of Blood Vessels01:20

Anatomy of Blood Vessels

722
The vascular system, an integral part of the circulatory system, comprises various blood vessels that play crucial roles in maintaining the body's homeostasis. These blood vessels form a complex and efficient circulatory network. The three primary categories of blood vessels are the arteries, veins, and capillaries.
Arteries
Arteries circulate oxygenated blood from the heart, except the pulmonary artery, which transports deoxygenated blood to the lungs. Large arteries, such as the aorta,...
722

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Neuroscience-Inspired Hierarchical GNN for Grasping Attempt Classification.

IEEE journal of biomedical and health informatics·2026
Same author

DiffGeo-AOR: Diffusion-Optimized Medical Grading via Geometric Priors enhanced Autoregressive Ordinal Regression.

IEEE transactions on medical imaging·2026
Same author

Beyond Correlation: Causal Intervention for Multi-Label Medical Image Diagnosis.

IEEE transactions on medical imaging·2026
Same author

EEG-based dataset explicitly targets the transitions between sitting and standing for exploring neural activation patterns in motor imagery and execution.

GigaScience·2026
Same author

A photoswitchable ligand for opposite control over cannabinoid receptors CB1 and CB2.

European journal of medicinal chemistry·2026
Same author

YoloSeg: You only label once for medical image segmentation.

Medical image analysis·2026

Related Experiment Video

Updated: Aug 4, 2025

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

7.6K

OCTAve: 2D En Face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning With

Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai

    IEEE Transactions on Bio-Medical Engineering
    |April 4, 2023
    PubMed
    Summary

    This study introduces OCTAve, a new weakly-supervised learning method for microvasculature segmentation in Optical Coherence Tomography Angiography (OCTA). OCTAve significantly improves segmentation quality using centerline annotations, reducing expert annotation burden.

    More Related Videos

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
    12:22

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

    Published on: August 4, 2018

    8.6K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
    07:23

    Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

    Published on: March 26, 2020

    7.6K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
    12:22

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

    Published on: August 4, 2018

    8.6K

    Area of Science:

    • Ophthalmology
    • Medical Imaging
    • Computer Vision

    Background:

    • Deep learning for microvasculature annotation in OCTA requires extensive, costly manual annotation.
    • Weak annotation, like centerline labeling, offers a cost-effective alternative but challenges segmentation quality.

    Purpose of the Study:

    • To develop a novel weakly-supervised learning method (OCTAve) for microvasculature segmentation in OCTA using centerline annotations.
    • To improve segmentation accuracy and reduce artifacts compared to existing methods.

    Main Methods:

    • Utilized scribble-based weakly-supervised learning, adapting it for centerline annotations.
    • Introduced a novel self-supervised deep supervision method based on Kullback-Liebler divergence to enhance segmentation performance.

    Main Results:

    • OCTAve demonstrated superior quantitative and qualitative segmentation results on public datasets (ROSE, OCTA-500) compared to baseline and naive methods (p < 0.001 for Dice's coefficient).
    • Achieved results comparable to fully supervised methods with an average performance drop of less than 10%.

    Conclusions:

    • Weakly-supervised learning, augmented with self-supervised deep supervision, effectively addresses the challenge of microvasculature segmentation with limited annotations.
    • The proposed OCTAve method offers a practical solution to reduce annotation costs and expert workload in OCTA analysis.