Deep Learning based Classification of Human Nail Diseases using Color Nail Images
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
When the disorders that occur in the fingernails and toenails are not noticed early, they can turn into diseases that affect human life. These diseases in our hands and feet, which are mostly used organs in our daily work, also negatively affect the quality of life. In this study, it is aimed to detect 5 different nail diseases using deep learning architectures. Within the scope of the study, the performance of the 6 most recent deep learning architectures was compared with each other. Although the number of pictures in the open-access database used in the study is low, the obtained results seem to be successful.
Açıklama
45th International Conference on Telecommunications and Signal Processing (TSP) -- JUL 13-15, 2022 -- ELECTR NETWORK
Anahtar Kelimeler
Convolutional Neural Network (CNN), Data Augmentation, Nail Diseases, Telehealth, Transfer Learning
Kaynak
2022 45th International Conference On Telecommunications And Signal Processing, Tsp
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
