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 Experiment Video

Updated: Jun 8, 2026

Dermoscopy Aids in the Diagnosis of Discoid Lupus Erythematosus
05:39

Dermoscopy Aids in the Diagnosis of Discoid Lupus Erythematosus

Published on: May 16, 2025

Automated color calibration method for dermoscopy images.

Hitoshi Iyatomi1, M Emre Celebi, Gerald Schaefer

  • 1Department of Applied Informatics, Hosei University, Tokyo, Japan. iyatomi@hosei.ac.jp

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|October 12, 2010
PubMed
Summary

This study introduces an automated color calibration method for dermoscopy images, crucial for accurate melanoma diagnosis. The developed filters improve image color consistency, enhancing diagnostic performance in skin lesion analysis.

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

Hippocampal subregional texture features associated with Alzheimer's disease severity and cognition.

Brain communications·2026
Same author

Incubating artificial intelligence initiatives and careers in dermatology.

The Journal of investigative dermatology·2026
Same author

Median cut color quantization algorithm: retrospective.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same author

A Neural Network Approach to Identify Left-Right Orientation of Anatomical Brain MRI.

Brain and behavior·2025
Same author

Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.

Artificial intelligence in medicine·2025
Same author

OpenMAP-T1: A Rapid Deep-Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain.

Human brain mapping·2024

Area of Science:

  • Dermatology
  • Medical Imaging
  • Computer Vision

Background:

  • Accurate color in dermoscopy images is vital for melanoma diagnosis.
  • Image artifacts like poor white balance or brightness can impair diagnostic accuracy.

Purpose of the Study:

  • To develop an automated color calibration method for dermoscopy images.
  • To enhance the diagnostic performance of melanoma detection through improved image quality.

Main Methods:

  • Developed automated color calibration filters using the HSV color system.
  • Utilized a dataset of 319 dermoscopy images for filter development and validation.
  • Investigated the influence of peripheral tumor color characteristics on filter performance.

Main Results:

More Related Videos

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Related Experiment Videos

Last Updated: Jun 8, 2026

Dermoscopy Aids in the Diagnosis of Discoid Lupus Erythematosus
05:39

Dermoscopy Aids in the Diagnosis of Discoid Lupus Erythematosus

Published on: May 16, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

  • The developed color calibration filters demonstrated satisfactory performance via cross-validation.
  • The method effectively adjusted image color distribution to match a reference training set.
  • Peripheral tumor color characteristics were found to significantly impact filter calibration.

Conclusions:

  • The automated color calibration method is effective for dermoscopy images.
  • This technique can standardize image quality, supporting more reliable melanoma diagnosis.
  • The HSV color system and peripheral tumor features are key to successful calibration.