Open AccessSELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC
Author(s) -
Magdalena Michalska
Publication year - 2021
Publication title -
informatyka, automatyka, pomiary w gospodarce i ochronie środowiska
Language(s) - English
Resource type - Journals
eISSN - 2391-6761
pISSN - 2083-0157
DOI - 10.35784/iapgos.2804
Subject(s) - artificial intelligence , skin lesion , computer science , pattern recognition (psychology) , segmentation , artificial neural network , dermatoscopy , lesion , melanoma diagnosis , melanoma , skin cancer , deep neural networks , selection (genetic algorithm) , deep learning , multiclass classification , machine learning , dermatology , medicine , pathology , cancer , support vector machine , cancer research
The article provides an overview of selected applications of deep neural networks in the diagnosis of skin lesions from human dermatoscopic images, including many dermatological diseases, including very dangerous malignant melanoma. The lesion segmentation process, features selection and classification was described. Application examples of binary and multiclass classification are given. The described algorithms have been widely used in the diagnosis of skin lesions. The effectiveness, specificity, and accuracy of classifiers were compared and analysed based on available datasets.