Home
  • English
  • ÄŒeÅ¡tina
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • LatvieÅ¡u
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Log In
    New user? Click here to register. Have you forgotten your password?
Home
  • Browse Our Collections
  • Publications
  • Researchers
  • Research Data
  • Institutions
  • Statistics
    • English
    • ÄŒeÅ¡tina
    • Deutsch
    • Español
    • Français
    • Gàidhlig
    • LatvieÅ¡u
    • Magyar
    • Nederlands
    • Português
    • Português do Brasil
    • Suomi
    • Log In
      New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Resources
  3. UniMAP Index Publications
  4. Publications 2020
  5. SFTA and GLCM via LDA Classifier for Skin Cancer Detection
 
Options

SFTA and GLCM via LDA Classifier for Skin Cancer Detection

Journal
IOP Conference Series: Materials Science and Engineering
ISSN
17578981
Date Issued
2020-12-18
Author(s)
Mohd Firdaus Omar
Universiti Malaysia Perlis
Mansor M.N.
Syahrul Affandi Saidi
Universiti Malaysia Perlis
DOI
10.1088/1757-899X/932/1/012068
Abstract
Skin cancer may be a serious tumor. This can be clearly seen through the mature, uncommon appearance of fur pathology, which has abnormal properties in complex situations, wrinkled or uncertain perimeters, and dual colors. A small number of tulle melanomas of uncertain diameter can imitate benign moles and cannot be perceived by optical inspection. The only assumption for analyzing them is through dermoscopy as an option. Original identification and medical surgery can alternative for the patients. Within this research a detection method through image processing with various feature extraction such as Gabor filter and Hu Moment were employed and substantially improves the diagnosis performance with 97% via LDA Classifier.
File(s)
Research repository notification.pdf (4.4 MB)
google-scholar
Views
Downloads
  • About Us
  • Contact Us
  • Policies