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

You might also read

Related Articles

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

Sort by

Same author

Endothelial mitochondrial homeostasis in the development and progression of atherosclerosis.

Frontiers in cardiovascular medicine·2026

Same author

Chemical exposure and hepatic steatosis: How environmental factors impact liver health.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association·2026

Same author

Combined effects of heavy metals and volatile organic compounds on oxidative stress and cardiovascular risk.

American heart journal plus : cardiology research and practice·2026

Same author

Computational pathology with dynamic convolutional and adaptive kernels.

Journal of pathology informatics·2026

Same author

Modeling inter-slice dependencies with temporal graph learning for Alzheimer's disease.

Journal of the neurological sciences·2026

Same author

Endothelial cystathionine-γ-lyase (CTH) regulates body weight and insulin resistance in mice fed a high-fat diet.

Redox biology·2026

Same journal

Reasoning Model-Assisted Second-Reader Quality Control of Chinese-Language Ultrasound Reports: A Retrospective Imaging Informatics Study.

Journal of imaging informatics in medicine·2026

Same journal

Where Your Eyes Go: How AI Output Design Impacts Reading Behavior.

Journal of imaging informatics in medicine·2026

Same journal

How is Bias Learned in Medical Image Analysis Models? An Exploration of the Encoding of Demographic Information in Deep Learning Models Trained to Detect Abnormalities on Chest X-Rays.

Journal of imaging informatics in medicine·2026

Same journal

AI-Based Opportunistic CT Risk Assessment Using TotalSegmentator in Osteoporotic Vertebral Fractures.

Journal of imaging informatics in medicine·2026

Same journal

A Computationally Efficient and Improved Brain Tumor Recognition System by MRI-Segmentation Integrated Classification Network.

Journal of imaging informatics in medicine·2026

Same journal

Ultrasound Domain Adaptation for Robust Kidney Segmentation via Spectral-Similarity-Guided Translation.

Journal of imaging informatics in medicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 8, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Topological Feature Extraction from Multi-color Channels for Pattern Recognition: An Application to Fundus Image

Fatih Gelir¹, Taymaz Akan¹, Owen T Carmichael²

¹Division of Clinical Informatics, Department of Internal Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, 71103, USA.

Journal of Imaging Informatics in Medicine

|December 22, 2025

Summary

This summary is machine-generated.

This study introduces color-based topological features combined with deep learning for enhanced medical image analysis and disease detection. These novel features significantly improve diagnostic accuracy in ophthalmology.

Keywords:

Convolutional neural network Deep learning Pattern recognition Persistent homology Topological feature

More Related Videos

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Related Experiment Videos

Last Updated: Jan 8, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Area of Science:

Medical Imaging Analysis
Computer Vision
Artificial Intelligence in Healthcare

Background:

Automated medical image analysis is vital for early disease detection.
Deep learning models have shown significant promise in analyzing complex medical images.
Understanding image topology and color variations can reveal crucial diagnostic information.

Purpose of the Study:

To explore the efficacy of color-based topological features for pattern recognition in medical images.
To integrate topological, Local Binary Pattern (LBP), and Gabor features with deep learning for disease classification.
To evaluate the performance of these models on diverse public fundus image datasets.

Main Methods:

Extraction of topological features across different color channels to capture shape and connectivity.
Integration of topological, LBP, and Gabor features.
Application of machine learning and deep learning models for classification tasks.
Validation using three large-scale fundus image datasets (APTOS 2019, ORIGA, ICHALLENGE-AMD).

Main Results:

Color-based topological features provide significant information for disease diagnosis.
The combined feature approach demonstrated strong performance in classifying retinal diseases.
The study highlights the importance of color space in topological feature extraction for medical imaging.

Conclusions:

Color-based topological features are valuable for automated medical image analysis.
Deep learning models augmented with these features enhance disease detection capabilities.
This approach offers a promising direction for improving diagnostic accuracy in ophthalmology.