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 Videos

Textural parameters based on the Spatial Gray Level Dependence Method applied to melanocytic nevi

T W Pope1, W L Williams, S B Wilkinson

  • 1Imaging Resource Center, University of Kansas School of Medicine, Kansas City 66103, USA.

Computers and Biomedical Research, an International Journal
|December 1, 1996
PubMed
Summary

The Spatial Gray Level Dependence Method (SGLDM) effectively distinguishes melanocytic nevi from normal skin. Eight out of ten texture features analyzed showed significant differences, aiding in nevus characterization.

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

Rachitis.

The Journal of comparative medicine and veterinary archives·2022
Same author

National and International Meat Inspection.

The Journal of comparative medicine and veterinary archives·2022
Same author

Actinomycosis and U. S. Meat Inspection.

The Journal of comparative medicine and veterinary archives·2022
Same author

Actinomycosis in Relation to Meat Inspection.

The Journal of comparative medicine and veterinary archives·2022
Same author

The Indiana Veterinary Association.

The Journal of comparative medicine and veterinary archives·2022
Same author

Review of "Contagious Venereal Disease Amongst Horses in Kent County, Canada".

The Journal of comparative medicine and veterinary archives·2022

Area of Science:

  • Dermatology
  • Medical Imaging
  • Computer Vision

Background:

  • Melanocytic nevi require accurate differentiation from normal skin for proper diagnosis.
  • Texture analysis offers a quantitative approach to characterizing skin lesions.

Purpose of the Study:

  • To assess the efficacy of the Spatial Gray Level Dependence Method (SGLDM) in differentiating melanocytic nevi from normal skin.
  • To identify textural features that are most sensitive to variations between nevi and healthy skin.

Main Methods:

  • Evaluated thirteen textural features derived from SGLDM for sensitivity to texture and tone.
  • Selected ten features more sensitive to texture for further analysis.
  • Analyzed ten textural features from digitized images of 24 benign melanocytic nevi and surrounding normal skin.

Related Experiment Videos

Main Results:

  • Ten SGLDM features demonstrated greater sensitivity to texture than tone.
  • Eight of the ten analyzed textural features successfully distinguished between melanocytic nevi and surrounding normal skin.

Conclusions:

  • SGLDM is a promising method for quantitative texture analysis in dermatology.
  • Specific SGLDM textural features can effectively differentiate benign melanocytic nevi from normal skin.