Indonesian Journal on Computing (Indo-JC)
Vol. 5 No. 2 (2020): September, 2020

Classifying Skin Cancer in Digital Images Using Convolutional Neural Network with Augmentation

Zeyhan Aliyah (Telkom University)
Anditya Arifianto (Telkom University)
Febryanti Sthevanie (Telkom University)

Article Info

Publish Date
02 Oct 2020

Abstract

Skin cancer is a hazardous disease that can induces death if it is not taken care of immediately. The disease is hard to identified since the symptoms have similarities with other disease. An automatically classification system of skin cancer has been developed, but it still produced low accuracy. We use Convolutional Neural Network  to enhance the accuracy of the classification. There are 2 main scenarios conducted in this research using HAM10000 dataset which has 7 classes. We compared ResNet and VGGNet architectures and obtained ResNet50 with augmentation as the best model with the accuracy of 99% and 99% macro avg.

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Journal Info
Indonesian Journal on Computing (Indo-JC)
Website

Abbrev

indojc

Publisher

Universitas Telkom

Subject

Computer Science & IT

Description

Indonesian Journal on Computing (Indo-JC) is an open access scientific journal intended to bring together researchers and practitioners dealing with the general field of computing. Indo-JC is published by School of Computing, Telkom University ...