Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs

Dental panoramic radiographs (DPRs) provide information required to potentially evaluate bone density changes through a textural and morphological feature analysis on a mandible. This study aims to evaluate the discriminating performance of deep convolutional neural networks (CNNs), employed with va...

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Veröffentlicht in:	Journal of clinical medicine 2020-02, Vol.9 (2), p.392
Hauptverfasser:	Lee, Ki-Sun, Jung, Seok-Ki, Ryu, Jae-Jun, Shin, Sang-Wan, Choi, Jinwook
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Architecture Bone density Classification Clinical medicine Datasets Deep learning Fractures Life expectancy Neural networks Osteoporosis
Online-Zugang:	Volltext
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