Machine Learning for Dental Image Analysis 来自 arXiv.org 喜欢 0 阅读量: 67 作者: Yu, Young-jun 摘要: In order to study the application of artificial intelligence (AI) to dental imaging, we applied AI technology to classify a set of panoramic radiographs using (a) a convolutional neural...
[Lecture Notes in Computer Science] Machine Learning in Medical Imaging Volume 10541 || Multi-factorial Age Estimation from Skeletal and Dental MRI Volumes Tissue is characterized using machine-learnt classification. The prognosis, diagnosis or evidence in the form of a similar case is found by mach...
Changes in trabecular bone due to osteoporosis can be observed on periapical radiographs, which are widely used in dental practice. This study proposes an automatic trabecular bone segmentation method for detecting osteoporosis using a color histogram and machine learning (ML), based ...
A new volumetric CT machine for dental imaging based on the cone-beam technique: Preliminary results The objective of this paper is to present a new type of volumetric CT which uses the cone-beam technique instead of traditional fan-beam technique. The machine is dedicated to the dento-maxillo...
Ahn, J., Kwak, S.: Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4981–4990 (2018) Zhang, D., Zeng, W., Yao, J., Han, J.: Weakly su...
Combining anatomical constraints and deep learning for 3-d cbct dental image multi-label segmentation. In: 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, New York, NY, USA; 2021. pp. 2750–5. Zheng Z, Yan H, Setzer FC, Shi KJ, Mupparapu M, Li J. ...
Combining anatomical constraints and deep learning for 3-d cbct dental image multi-label segmentation. In: 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, New York, NY, USA; 2021. pp. 2750–5. Zheng Z, Yan H, Setzer FC, Shi KJ, Mupparapu M, Li J. ...
Novel applications of artificial intelligence, machine learning, and deep learning-based modalities in dental traumatology: An overview of evidence-based l... In recent years, contemporary digital dentistry is rapidly evolving as a paradigm shift or revolutionary change in traditional dentistry for delive...
Expediting carbon dots synthesis by the active adaptive method with machine learning and applications in dental diagnosis and treatment Rights and permissions Reprints and permissions About this article Cite this article Tang, Y., Xu, Q., Zhang, X. et al. Expediting carbon dots synthesis by the ...
Compared with deep learning, linear classification has the advantage of deriving significant features for classification. We were able to identify variants that strongly contributed to the classification (Supplementary Table 3). In this framework, the classification scores were calculated for each group, ...