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Android-Based Skin Cancer Recognition System Using Convolutional Neural Network
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Author(s): Sercan Demirci (Ondokuz Mayıs University, Turkey), Durmuş Özkan Şahin (Ondokuz Mayıs University, Turkey)and Ibrahim Halil Toprak (Ondokuz Mayıs University, Turkey)
Copyright: 2021
Pages: 27
Source title:
Diagnostic Applications of Health Intelligence and Surveillance Systems
Source Author(s)/Editor(s): Divakar Yadav (National Institute of Technology, Hamirpur, India), Abhay Bansal (Amity University, India), Madhulika Bhatia (Amity University, India), Madhurima Hooda (Amity University, India)and Jorge Morato (Universidad Carlos III de Madrid, Spain)
DOI: 10.4018/978-1-7998-6527-8.ch003
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Abstract
Skin cancer, which is one of the most common types of cancer in the world, is a malignant growth seen on the skin due to various reasons. There was an increase in the number of the cases of skin cancer nearly 200% between 2004-2009. Since the ozone layer is depleting, harmful rays reflected from the sun cannot be filtered. In this case, the likelihood of skin cancer will increase over the years and pose more risks for human beings. Early diagnosis is very significant as in all types of cancers. In this study, a mobile application is developed in order to detect whether the skin spots photographed by using the machine learning technique for early diagnosis have a suspicion of skin cancer. Thus, an auxiliary decision support system is developed that can be used both by the clinicians and individuals. For cases that are predicted to have a risk higher than a certain rate by the machine learning algorithm, early diagnosis could be initiated for the patients by consulting a physician when the case is considered to have a higher risk by machine learning algorithm.
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