Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Glaucoma: Overview

Glaucoma: Overview

Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...

Open Angle Glaucoma: Treatment

Open Angle Glaucoma: Treatment

In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...

Angle Closure Glaucoma: Treatment

Angle Closure Glaucoma: Treatment

Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...

You might also read

Related Articles

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

Sort by

Same author

A co-created, global action-oriented framework for adolescent nutrition.

The Lancet. Child & adolescent health·2026

Same author

From image to clinical judgment: a randomized near-peer teaching trial on systematic chest radiograph interpretation.

BMC medical education·2026

Same author

High- and Low-Energy Lisfranc Injuries: A Prospective Study of Functional Outcomes and an Algorithm Based on Trauma Kinetics.

Cureus·2026

Same author

Breastfeeding counselling mentorship programme feasibility: a mixed-methods study.

Public health nutrition·2025

Same author

Highly Breathable and Protective Carbon Fabrics.

ACS applied materials & interfaces·2025

Same author

Renin-Angiotensin-Aldosterone System Profiling in Horses Before and After Exercise.

Journal of veterinary internal medicine·2025

Search research articles

Related Experiment Video

Updated: Mar 29, 2026

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening.

Jorge Hernández¹, Silvia Alayón², José F Sigut²

¹Department of Computer Science and Systems Engineering, University of La Laguna, 38200, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain. jhernanv@ull.edu.es.

Scientific Reports

|March 28, 2026

Summary

This study introduces Superpixel-based Vision Transformers (SpxViT) for glaucoma screening. SpxViT enhances model interpretability and diagnostic transparency in medical imaging while maintaining high accuracy.

Keywords:

Attention maps Explainable AI (XAI)Glaucoma screening Interpretability Ophthalmology Superpixels Vision Transformer (ViT)

More Related Videos

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

Related Experiment Videos

Last Updated: Mar 29, 2026

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

Area of Science:

Ophthalmology
Artificial Intelligence
Medical Image Analysis

Background:

Clinical adoption of deep learning in medical imaging faces interpretability challenges.
Explainable AI (XAI) is crucial for trust and transparency in ophthalmology, especially for glaucoma screening.

Purpose of the Study:

To introduce Superpixel-based Vision Transformer (SpxViT) for enhanced interpretability in glaucoma screening.
To evaluate SpxViT's accuracy and clinical consistency compared to traditional Vision Transformers (ViTs).

Main Methods:

Developed SpxViT, replacing fixed grid tokenization with superpixel-based segmentation to preserve semantic boundaries.
Evaluated two SpxViT variants (SpxViT_fix, SpxViT_var) on public and private glaucoma datasets.

Main Results:

SpxViT achieved accuracy comparable to ViT-B/16 (91.9% vs. 92.5%).
SpxViT generated more clinically consistent attention maps, focusing on the optic disc and cup.

Conclusions:

SpxViT offers a promising approach to improve interpretability in deep learning for glaucoma screening.
The superpixel-based method enhances diagnostic transparency without sacrificing accuracy.