Open AccessApplication of Transfer Learning Using Convolutional Neural Network Method for Early Detection of Terry’s Nail
Author(s) -
Muhamad Yani,
Shuchun Si,
M.T. Casi Setiningsih S.T.
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1201/1/012052
Subject(s) - convolutional neural network , nail (fastener) , transfer of learning , artificial intelligence , deep learning , computer science , artificial neural network , pattern recognition (psychology) , nail disease , architecture , machine learning , medicine , dermatology , engineering , structural engineering , geography , psoriasis , archaeology
Nails are one part of the fingers and toes, by observing the shape and the condition of the nails, health expert can find out information about a person’s health. However, this sometimes not realized and ignored by society, even though many diseases that can be seen through the condition of the nails and the shape of the nails are one of the systemic diseases. This research was conducted to detect abnormalities in the nail based on digital images. The detected abnormalities are terry’s nails in the hand which can represent systemic diseases, while the method used is the Convolutional Neural Network (CNN) method. This research uses Tensorflow Inception-V3 architecture model with the transfer learning method where the results of the experiments that have been done are obtained with 95.24% accuracy.