Open AccessGenerative adversarial network image synthesis method for skin lesion generation and classification
Author(s) -
Freedom Mutepfe,
Behnam Kiani Kalejahi,
Saeed Meshgini,
Sabalan Daneshvar
Publication year - 2021
Publication title -
journal of medical signals and sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.337
H-Index - 21
ISSN - 2228-7477
DOI - 10.4103/jmss.jmss_53_20
Subject(s) - hyperparameter , computer science , discriminative model , artificial intelligence , deep learning , machine learning , binary classification , contextual image classification , pattern recognition (psychology) , image (mathematics) , support vector machine
One of the common limitations in the treatment of cancer is in the early detection of this disease. The customary medical practice of cancer examination is a visual examination by the dermatologist followed by an invasive biopsy. Nonetheless, this symptomatic approach is timeconsuming and prone to human errors. An automated machine learning model is essential to capacitate fast diagnoses and early treatment.