MSLPNet: multi-scale location perception network for dental panoramic X-ray image segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-05790-5.pdf
Reference58 articles.
1. Kudo K, Okada Y (2020) Development of training system for dental treatment using webar and leap motion controller. In: Conference on complex, intelligent, and software intensive systems. Springer, Berlin, pp 579–587
2. Liu L, Zhou R (2020) Simulation training for ceramic crown preparation in the dental setting using a virtual educational system. Eur J Dent Educ 24(2):199–206
3. Marroquin TY, Karkhanis S (2020) Overcoming population differences for dental age estimation in adults through pulp/tooth volume calculations: a pilot study. Aust J Forensic Sci 52(5):500–507
4. Sehrawat JS, Singh M (2020) Dental age estimation of ajnala skeletal remains: a forensic odontological study. Bull Int Assoc Paleodontol 14(1):40–52
5. Lin PL, Huang PY (2012) An automatic lesion detection method for dental X-ray images by segmentation using variational level set. In: 2012 International conference on machine learning and cybernetics, vol 5. IEEE, pp 1821–1825
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A new dataset of oral panoramic x-ray images and parallel network using transformers for medical image segmentation;Journal of Stomatology, Oral and Maxillofacial Surgery;2024-06
2. Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs;Intelligenza Artificiale;2024-04-16
3. Deep learning-based tooth segmentation methods in medical imaging: A review;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine;2024-02
4. A Global-Local Feature Multilevel Fusion Network for Chip Defect Segmentation;IEEE Access;2024
5. Single Tooth Segmentation on Panoramic X-Rays Using End-to-End Deep Neural Networks;Open Journal of Stomatology;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3