Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network
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Title
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network
Authors
Keywords
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Journal
DENTOMAXILLOFACIAL RADIOLOGY
Volume -, Issue -, Pages -
Publisher
British Institute of Radiology
Online
2022-07-12
DOI
10.1259/dmfr.20220135
References
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Related references
Note: Only part of the references are listed.- A review on deep learning in medical image analysis
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- Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
- (2019) Shelly Soffer et al. RADIOLOGY
- Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique
- (2019) Yoshiko Ariji et al. Oral Surgery Oral Medicine Oral Pathology Oral Radiology
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- (2018) Takashi Nakamoto et al. Oral Radiology
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- (2018) Makoto Murata et al. Oral Radiology
- Quantitative assessment of mandibular cortical erosion on dental panoramic radiographs for screening osteoporosis
- (2016) Chisako Muramatsu et al. International Journal of Computer Assisted Radiology and Surgery
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Digital panoramic radiographs are useful for diagnosis of osteoporosis in Korean postmenopausal women
- (2014) Ok-Su Kim et al. GERODONTOLOGY
- Image Texture in Dental Panoramic Radiographs as a Potential Biomarker of Osteoporosis
- (2013) Martin G. Roberts et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Japanese 2011 guidelines for prevention and treatment of osteoporosis—executive summary
- (2012) Hajime Orimo et al. Archives of Osteoporosis
- Assessment of bone mineral density in the jaws and its relationship to radiomorphometric indices
- (2010) A Gulsahi et al. DENTOMAXILLOFACIAL RADIOLOGY
- A computer-aided diagnosis system to screen for osteoporosis using dental panoramic radiographs
- (2008) T Nakamoto et al. DENTOMAXILLOFACIAL RADIOLOGY
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