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

Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

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

Sort by
Same author

Feasibility of a school-based exercise intervention for children with intellectual disability to reduce cardio-metabolic risk.

Journal of intellectual disability research : JIDR·2019
Same author

Concentrations of faecal coliforms, Escherichia coli, enterococci and Campylobacter spp. in equine faeces.

New Zealand veterinary journal·2014
Same author

[Could pleural aspergillosis happen to be a complication of pleural drainage?].

Revue de pneumologie clinique·2013
Same author

Global acetylation and methylation changes predict papillary urothelial neoplasia of low malignant potential recurrence: a quantitative analysis.

International journal of immunopathology and pharmacology·2011
Same author

[Pulmonary hamartoma with lipomatous form].

Revue des maladies respiratoires·2011
Same author

[Conservative management of the phrenic nerve and surgical treatment of lung cancer].

Revue de pneumologie clinique·2010
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

Self-optimizing, self-learning system in pictorial pattern recognition.

P H Bartels, J Bellamy

    Applied Optics
    |January 23, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a computer system for pattern recognition in biomedical images. The system uses machine learning for objective cytodiagnostic decision-making, outperforming human experts in classifying cells.

    Related Experiment Videos

    Last Updated: Jun 16, 2026

    End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
    03:31

    End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

    Published on: December 15, 2023

    Area of Science:

    • Biomedical image analysis
    • Computer-aided diagnosis
    • Machine learning in medicine

    Background:

    • Accurate classification of biomedical patterns is crucial for diagnostics.
    • Human assessment of microscopic images can be subjective and inconsistent.
    • Automated systems offer potential for improved objectivity and accuracy.

    Purpose of the Study:

    • To develop and evaluate a computer system for discriminating pictorial patterns in biomedical images.
    • To assess the system's consistency and accuracy compared to human experts.
    • To apply the system to the recognition of tumor cells and immune response cells.

    Main Methods:

    • Utilizing a system of computer programs with numerically encoded pattern properties.
    • Employing supervised learning for optimal decision sequences and thresholds.
    • Incorporating unsupervised learning for pattern detection.
    • Testing on digitized microscopic images of biomedical patterns.

    Main Results:

    • The system demonstrated consistent classification of biomedical patterns.
    • Machine recognition of tumor cells and immune response cells was achieved.
    • Objective cytodiagnostic decision-making proved more consistent than human assessment.
    • The system achieved finer discrimination than qualified human observers in certain cases.

    Conclusions:

    • Automated systems can achieve objective and consistent cytodiagnostic decision-making.
    • Computer-aided discrimination of biomedical patterns shows promise for enhanced diagnostic accuracy.
    • This approach has significant implications for the field of digital pathology and medical imaging analysis.