Disease Classification based on Dermoscopic Skin Images Using Convolutional Neural Network in Teledermatology System

• Main Authors: I Ketut Eddy Purnama, Arta Kusuma Hernanda, Anak Agung Putri Ratna, Inggrid Nurtanio, Afif Nurul Hidayati, Mauridhi, Hery Purnomo, Supeno Mardi Susiki Nugroho, Reza Fuad Rachmadi
• Format: Book Section PeerReviewed
• Language: English; English; English
• Published: IEEE Xplore Digital Library 2019
• Subjects: R Medicine (General); RL Dermatology
• Online Access: http://repository.unair.ac.id/95072/1/Disease%20Classification%20based%20on%20Dermoscopic%20Skin.pdf; http://repository.unair.ac.id/95072/2/Disease%20Classification%20based%20on%20Dermoscopic%20Skin%20Images.pdf; http://repository.unair.ac.id/95072/3/Disease%20Classification%20based%20on%20Dermoscopic%20Skin%20Images%20Using%20Convolutional%20Neural%20Network%20in%20Teledermatology%20System.pdf; http://repository.unair.ac.id/95072/; https://ieeexplore.ieee.org/document/8973303
• Institution: Universitas Airlangga

We have proposed a system of classification and detection of skin diseases that can be applied to Teledermatology. This system will classify skin diseases on dermoscopic images using the Deep Learning algorithm, Convolutional Neural Network (CNN). Dermoscopic image data in this study from MNIST HAM1...