A Symmetric Fully Convolutional Residual Network With DCRF for Accurate Tooth Segmentation

A Symmetric Fully Convolutional Residual Network With DCRF for Accurate Tooth Segmentation

Accurate tooth segmentation from CBCT images is a crucial step for specialist to perform quantitative analysis, clinical diagnosis and operation. In this paper, we present a symmetric full convolutional network with residual block and Dense Conditional Random Field (DCRF), which can achieve accurate...

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Bibliographic Details
Main Authors: Yunbo Rao, Yilin Wang, Fanman Meng, Jiansu Pu, Jihong Sun, Qifei Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Tooth segmentation
CBCT images
fully convolutional network
bottleneck architecture
conditional random field
Online Access:https://ieeexplore.ieee.org/document/9093915/

Internet

https://ieeexplore.ieee.org/document/9093915/

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