Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Convolutional neural network to extract the best treatment way of warts based on data mining
Revue D Intelligence Artificielle · Ocak 2019
YÖKSİS Kayıtları
Convolutional neural network to extract the best treatment way of warts based on data mining
Revue d’Intelligence Artificielle · 2019 SCOPUS
PROFESÖR MUHAMMET SERDAR BAŞÇIL →
Makale Bilgileri
DergiRevue D Intelligence Artificielle
Yayın TarihiOcak 2019
Cilt / Sayfa33 · 165-170
Scopus ID2-s2.0-85075536329
Erişim🔓 Açık Erişim
Özet
Cryotherapy and immunotherapy are two common methods to treat warts. This paper aims to determine which treatment methods is more effective in curing common types of warts. For this purpose, the author designed a convolutional neural network (CNN) to predict the effectiveness of wart treatment methods. The cryotherapy and immunotherapy datasets were randomly amplified by data mining rules, and represented as 2D grayscale pseudo images. The results show that the CNN with data mining can effectively predict the wart treatment effects; cryotherapy treatment is better than immunotherapy in curing common types of warts. This research is the first to combine CNN and data mining in predicting the treatment effects of warts.
Yazarlar (1)
1
Muhammet Serdar Bascil
Anahtar Kelimeler
Convolutional neural network (CNN)
Cryotherapy
Data mining
Immunotherapy
Wart
Kurumlar
Bozok Üniversitesi
Yozgat Turkey
Metrikler
2
Atıf
1
Yazar
5
Anahtar Kelime