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

An adaptive oppositional grey wolf optimizer for complex engineering problems.

Scientific reports·2026

Same author

Colorectal Polyp Segmentation Based on Deep Learning Methods: A Systematic Review.

Journal of imaging·2025

Same author

Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging.

Scientific reports·2025

Same author

A review of convolutional neural network based methods for medical image classification.

Computers in biology and medicine·2024

Same author

Detecting Cyber Attacks In-Vehicle Diagnostics Using an Intelligent Multistage Framework.

Sensors (Basel, Switzerland)·2023

Same author

PID Fuzzy Control Applied to an Electrosurgical Unit for Power Regulation.

Journal of electrical bioimpedance·2021

Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026

Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026

Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026

Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026

Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026

Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 15, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Acne Detection Based on Reconstructed Hyperspectral Images.

Ali Mohammed Ridha^1,2, Nor Ashidi Mat Isa², Ayman Tawfik¹

¹Department of Electrical and Computer Engineering, Ajman University, Ajman P.O. Box 346, United Arab Emirates.

Journal of Imaging

|August 28, 2024

Summary

This summary is machine-generated.

A new system uses reconstructed hyperspectral images from regular RGB photos to detect acne vulgaris. This cost-effective method shows promise for diagnosing skin conditions without expensive equipment.

Keywords:

RetinaNet acne detection hyperspectral imaging hyperspectral reconstruction machine learning

More Related Videos

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

Related Experiment Videos

Last Updated: Jun 15, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

Area of Science:

Dermatology and Medical Imaging

Background:

Acne vulgaris affects over 85% of teenagers and adults, impacting quality of life.
Hyperspectral imaging (HSI) is effective for skin condition diagnosis but limited by high equipment costs.

Purpose of the Study:

To develop a novel, cost-effective acne detection system using reconstructed hyperspectral (HS) images.
To evaluate the performance of an acne detection algorithm based on reconstructed HS images.

Main Methods:

A dataset of reconstructed HS images was created using a previously developed HS reconstruction model.
A new acne detection algorithm, integrating reconstructed HS images with the RetinaNet architecture, was introduced.

Main Results:

The proposed algorithm utilizing reconstructed HS images outperformed methods based solely on RGB images.
Reconstructed HS images provide a viable, affordable alternative to specialized HSI equipment for acne detection.

Conclusions:

Reconstructed hyperspectral imaging offers a promising, low-cost approach for acne detection.
This technology can potentially be extended to diagnose other medical conditions, improving accessibility to advanced imaging techniques.