RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution

RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution

Automatic segmentation of jaw cysts in cone-beam computed tomography (CBCT) scans plays a crucial role in clinical and treatment planning, and it provides an efficient alternative to labor-intensive manual procedures. However, cysts on pathological sections often present with irregular and complex m...

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Bibliographic Details
Main Authors: Huixia Zheng, Xiaoliang Jiang, Xu Xu, Zhenfei Yuan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Jaw cyst segmentation
U-Net
residual bottleneck module
multiscale dilated convolution module
multi-level feature guidance module
Online Access:https://ieeexplore.ieee.org/document/10820348/
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https://ieeexplore.ieee.org/document/10820348/

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