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 21, 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

Approximate lesion localization in dermoscopy images.

M Emre Celebi1, Hitoshi Iyatomi, Gerald Schaefer

  • 1Department of Computer Science, Louisiana State University, Technology Center 206, One University Place, Shreveport, LA 71115, USA. ecelebi@Isus.edu

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)
|July 24, 2009
PubMed
Summary
This summary is machine-generated.

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

Antioxidant, Keratolytic, and Hydrating Treatment for Seborrheic Keratoses.

Journal of drugs in dermatology : JDD·2025

This study introduces a fast and accurate method for locating skin lesions in dermoscopy images, a crucial first step for automated analysis and diagnosis of conditions like melanoma.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Dermatology

Background:

  • Dermoscopy is vital for diagnosing melanoma and pigmented skin lesions.
  • Automated analysis of dermoscopy images is crucial due to interpretation challenges.
  • Accurate border detection is a key step in automated dermoscopy image analysis.

Purpose of the Study:

  • To present an automated method for approximate lesion localization in dermoscopy images.
  • To develop a preprocessing step for robust border detection in skin lesion analysis.

Main Methods:

  • An iterative algorithm removes the black frame from dermoscopy images.
  • An ensemble of thresholding algorithms determines the approximate lesion location.
  • The method serves as a preprocessing step for border detection.

More Related Videos

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Related Experiment Videos

Last Updated: Jun 21, 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

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Main Results:

  • The lesion localization method was evaluated on 428 dermoscopy images.
  • Localization accuracy was quantified using dermatologist-defined borders as ground truth.

Conclusions:

  • The presented method achieves rapid and precise localization of skin lesions.
  • This technique enhances automated analysis of dermoscopy images for clinical applications.