A comprehensive study on feature types for osteoporosis classification in dental panoramic radiographs

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A comprehensive study on feature types for osteoporosis classification in dental panoramic radiographs

机译：牙科全治局射线照相骨质疏松症分类特征类型的综合研究

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Background and Objective: Osteoporosis is a disease characterized by a decrease in bone density. It is often associated with fractures and severe pain. Previous studies have shown a high correlation between the density of the bone in the hip and in the mandibular bone in the jaw. This suggests that dental radiographs might be useful for detecting osteoporosis. Use of dental radiographs for this purpose would simplify early detection of osteoporosis. However, dental radiographs are not normally examined by radiologists. This paper explores the use of 13 different feature extractors for detection of reduced bone density in dental radiographs.

机译：背景和目的：骨质疏松症是一种疾病，其特征在于骨密度降低。它通常与骨折和剧烈疼痛有关。以前的研究表明，臀部中骨密度和下颌骨中的骨密度之间的高度相关性。这表明牙科射线照片可能对检测骨质疏松症有用。为此目的使用牙科射线照相将简化早期检测骨质疏松症。然而，牙科射线照片通常不会被放射科医师检查。本文探讨了13种不同特征提取器的使用，以检测牙科射线照相中的骨密度降低。

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《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2020年第2020期|共12页
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正文语种 eng
中图分类计算技术、计算机技术;
关键词
Osteoporosis detection and classification; Dental radiograph; Self organizing map; Learning vector quantization; Image processing; Computer vision;

机译：骨质疏松症检测和分类;牙科X线片;自组织地图;学习矢量量化;图像处理;计算机愿景;

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1. A comprehensive study on feature types for osteoporosis classification in dental panoramic radiographs [J] . Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：牙科全治局射线照相骨质疏松症分类特征类型的综合研究
2. Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection [J] . Artificial intelligence in medicine . 2020,第Mara期

机译：自动计算牙科全景X线照片中的下颌骨指数以进行早期骨质疏松症检测
3. Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs [J] . Progress in Artificial Intelligence . 2020,第2期

机译：深度卷积神经网络转移学习评价牙科全治局X线片骨质疏松症的骨质疏松症
4. Automated classification of mandibular cortical bone on dental panoramic radiographs for early detection of osteoporosis [C] . Kazuki Horiba, Chisako Muramatsu, Tatsuro Hayashi, Conference on computer-aided diagnosis . 2015

机译：在牙科全景X光片上自动分类下颌骨骨质，以早期发现骨质疏松症
5. The Dominican decima of popular tradition: An anthology, a classification of types and a study of its distinguishing features (Spanish text). [D] . Payano, Hector. 2003

机译：多米尼加流行传统的十进制：选集，类型分类及其独特特征的研究（西班牙语）。
6. Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs [O] . Ki-Sun Lee, Seok-Ki Jung, Jae-Jun Ryu, 2020

机译：评估深层卷积神经网络转移学习在牙科X线片中筛选骨质疏松症的评估
7. Image texture in dental panoramic radiographs as a potential biomarker of osteoporosis [O] . Roberts, Martin G., Graham, James, Devlin, Hugh 2013

机译：在牙齿全景射线照片的图象纹理作为骨质疏松症的潜在的生物标志物

A comprehensive study on feature types for osteoporosis classification in dental panoramic radiographs

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