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...

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Bibliographic Details
Main Authors: Hidjah, Khasnur, Harjoko, Agus, Wibowo, Moh. Edi, Shantiningsih, Rurie Ratna
Format: Other
Language:English
Published: International Journal of Advanced Computer Science and Applications 2022
Subjects:
Artificial Intelligence and Image Processing
Online Access: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

Internet

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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