Accurate segmentation based on heuristic shape attention for occlusal tooth on CBCT
Author:
Affiliation:
1. Fujian Normal University, China
2. Fujian University of Technology, China
3. Central South University, China
Funder
the Natural Science Foundation of Fujian Province
The Young and Middle-aged Teachers Foundation of Fujian Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638985.3638995
Reference23 articles.
1. Ruben Pauwels Reinhilde Jacobs Hilde Bosmans and Pisha Pittayapat.2014. Automated implant segmentation in cone-beam ct using edge detection and particle counting. International journal of computer assisted radiology and surgery 9 4 733–743. https://doi.org/10.1007/s11548-013-0946-z
2. Neural network based edge detection for CBCT segmentation
3. An efficient k-means clustering algorithm: analysis and implementation
4. Learning representations by back-propagating errors
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