Periapical Radiograph Texture Features for Osteoporosis Detection using Deep Convolutional Neural Network

Periapical Radiograph Texture Features for Osteoporosis Detection using Deep Convolutional Neural Network

Currently, research for osteoporosis examination using dental radiographic images is increasing rapidly. Many researchers have used various methods from subject data. It indicates that osteoporosis has become a widespread disease that should be studied more deeply. This study proposes a deep Convolu...

Bibliografski detalji
Glavni autori:	Hidjah, Khasnur, Harjoko, Agus, Wibowo, Moh. Edi, Shantiningsih, Rurie Ratna
Format:	Other
Jezik:	English
Izdano:	International Journal of Advanced Computer Science and Applications 2022
Teme:	Artificial Intelligence and Image Processing
Online pristup:	https://repository.ugm.ac.id/283907/1/105.Periapical-Radiograph-Texture-Features-for-Osteoporosis-Detection-using-Deep-Convolutional-Neural-NetworkInternational-Journal-of-Advanced-Computer-Science-and-Applications.pdf

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