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

Muscles that Move the Head01:19

Muscles that Move the Head

6.0K
The muscles that move the head are a dynamic and complex group of structures that work together to facilitate a wide range of head movements, including rotation, flexion, extension, and lateral bending.
The bilateral sternocleidomastoid, or SCM, and the suprahyoid and infrahyoid muscles are significant head flexors. The SCM muscles originate at the sternum and clavicle and attach to the mastoid process of the temporal bone. The SCM contracts bilaterally to bend the head forward, whereas...
6.0K
Arteries of the Head and Neck01:26

Arteries of the Head and Neck

3.3K
The human body's intricate network of arteries ensures that every organ system receives the necessary oxygen and nutrients for optimal function. The arterial network in the head and neck region is particularly complex, providing vital blood flow to the brain, eyes, and other critical structures. Prominent arteries in this region include the internal carotid arteries and the vertebral arteries.
The internal carotid arteries supply blood to the anterior portion of the cerebrum. They enter the...
3.3K
Veins of Head and Neck01:19

Veins of Head and Neck

5.7K
The blood drainage from the head and neck is primarily managed by three pairs of veins: the external jugular, internal jugular, and vertebral veins. The external jugular veins drain superficial scalp and face structures, passing over the sternocleidomastoid muscles to empty into the subclavian veins.
On the other hand, the vertebral veins, unlike their arterial counterparts, are not primarily responsible for brain drainage. Instead, they drain the cervical vertebrae, spinal cord, and some small...
5.7K
Spinal Nerves: Plexus II01:21

Spinal Nerves: Plexus II

2.5K
The plexuses of the lower body include the lumbar, sacral, and coccygeal plexuses, which innervate the abdomen, pelvis, legs, and coccygeal region. These plexuses control the transmission of sensory information and coordinate motor functions of the lower body.
The Lumbar Plexus
The lumbar plexus is situated within the lumbar region of the back and is primarily formed by the first four lumbar spinal nerves (L1 to L4). This plexus extends its branches into several nerves, including the...
2.5K
Nerve Supply of the GI Tract01:27

Nerve Supply of the GI Tract

3.6K
The neuronal supply to the gastrointestinal (GI) tract is essential for regulating various functions, including digestion, absorption, and movement of food. This intricate network of nerves is known as the enteric nervous system (ENS), often referred to as the "second brain" of the body.
The enteric nervous system consists of two major plexuses: the myenteric plexus (Auerbach's plexus) and the submucosal plexus (Meissner's plexus). These plexuses are located within the layers of...
3.6K
Cranial Nerves: Types Part I01:14

Cranial Nerves: Types Part I

5.3K
Cranial nerves are responsible for transmitting motor and sensory information between the brain and various parts of the body. There are twelve pairs of cranial nerves, with the first six being essential in sensory perception, motor control, and autonomic functions related to the head and neck.
Olfactory Nerve (Cranial Nerve I)
The olfactory nerve, or cranial nerve I, is unique as it is purely sensory and dedicated to the sense of smell. This nerve originates in the olfactory epithelium of the...
5.3K

You might also read

Related Articles

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

Sort by
Same author

A Two-Stage Classification Method for Improved Fault Detection in Wind Turbines Based on SCADA Data.

Sensors (Basel, Switzerland)·2026
Same author

Obtaining Rotational Stiffness of Wind Turbine Foundation from Acceleration and Wind Speed SCADA Data.

Sensors (Basel, Switzerland)·2025
Same author

Ensemble learning-based method for multiple sclerosis screening from retinal OCT images.

Medical & biological engineering & computing·2025
Same author

A Case of Diffuse B-Cell Lymphoma Presenting as a Rash on the Chest and Abdomen.

Cureus·2025
Same author

An Ensemble Network for High-Accuracy and Long-Term Forecasting of Icing on Wind Turbines.

Sensors (Basel, Switzerland)·2025
Same author

A Review of Machine Learning Approaches for the Personalization of Amplification in Hearing Aids.

Sensors (Basel, Switzerland)·2024
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
Same journal

Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition.

Computer methods and programs in biomedicine·2026
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

Optic Nerve Sheath Point of Care Ultrasound: Image Acquisition
06:09

Optic Nerve Sheath Point of Care Ultrasound: Image Acquisition

Published on: August 18, 2023

2.9K

A mobile computer aided system for optic nerve head detection.

Yaroub Elloumi1, Mohamed Akil2, Nasser Kehtarnavaz3

  • 1Gaspard Monge Computer Science Laboratory, ESIEE-Paris, University Paris-Est Marne-la-Vallée, France; Medical Technology and Image Processing Laboratory, Faculty of medicine, University of Monastir, Tunisia.

Computer Methods and Programs in Biomedicine
|June 16, 2018
PubMed
Summary
This summary is machine-generated.

A new Android app enables optic nerve head (ONH) detection on smartphones, aiding in early diagnosis of diabetic retinopathy (DR) and other eye conditions, especially in remote areas.

Keywords:
Fundus image processingOptic nerve head detectionRadon TransformSmartphone-based CAD in ophthalmology

More Related Videos

A Surgical Approach for Optic Nerve Crush in a Rabbit Model
06:15

A Surgical Approach for Optic Nerve Crush in a Rabbit Model

Published on: July 8, 2025

1.4K
Transconjunctival Approach for Injection into the Rat Optic Nerve
02:33

Transconjunctival Approach for Injection into the Rat Optic Nerve

Published on: April 4, 2025

910

Related Experiment Videos

Last Updated: Feb 9, 2026

Optic Nerve Sheath Point of Care Ultrasound: Image Acquisition
06:09

Optic Nerve Sheath Point of Care Ultrasound: Image Acquisition

Published on: August 18, 2023

2.9K
A Surgical Approach for Optic Nerve Crush in a Rabbit Model
06:15

A Surgical Approach for Optic Nerve Crush in a Rabbit Model

Published on: July 8, 2025

1.4K
Transconjunctival Approach for Injection into the Rat Optic Nerve
02:33

Transconjunctival Approach for Injection into the Rat Optic Nerve

Published on: April 4, 2025

910

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Mobile Health

Background:

  • Optic nerve head (ONH) detection in retinal images is crucial for diagnosing conditions like diabetic retinopathy (DR).
  • Existing diagnostic tools often require specialized facilities, limiting access in remote areas.

Purpose of the Study:

  • To develop an Android smartphone application for ONH detection.
  • To create a mobile, cost-effective computer-aided diagnosis (CAD) system for ophthalmology.

Main Methods:

  • An existing ONH detection algorithm was adapted for smartphone use.
  • Pre-processing and optimization steps were implemented for efficient mobile execution.

Main Results:

  • The algorithm achieved high detection rates (91-100%) on public and smartphone-captured datasets.
  • Average execution times were under 3 seconds on the smartphone platform.

Conclusions:

  • The developed Android app, combined with smartphone-attachable lenses, offers a viable mobile CAD system.
  • This technology can significantly improve eye examination accessibility in underserved regions.