AN OVERVIEW OF CLASSIFICATION METHODS FROM DERMOSCOPY IMAGES IN SKIN LESION DIAGNOSTIC
Magdalena Michalska
mmagamichalska@gmail.comLublin University of Technology (Poland)
Oksana Boyko
Danylo Halytsky Lviv National Medical University, Department of Medical Informatics (Ukraine)
http://orcid.org/0000-0002-8810-8969
Abstract
The article contains a review of selected classification methods of dermatoscopic images with human skin lesions, taking into account various stages of dermatological disease. The described algorithms are widely used in the diagnosis of skin lesions, such as artificial neural networks (CNN, DCNN), random forests, SVM, kNN classifier, AdaBoost MC and their modifications. The effectiveness, specificity and accuracy of classifications based on the same data sets were also compared and analyzed.
Keywords:
dermatoscopic images, classification methods, neural networks, SVM, skin cancer, skin lesionsReferences
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Authors
Oksana BoykoDanylo Halytsky Lviv National Medical University, Department of Medical Informatics Ukraine
http://orcid.org/0000-0002-8810-8969
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