Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans

Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans

Accurate segmentation of mandibular canals in lower jaws is important in dental implantology. Medical experts manually determine the implant position and dimensions from 3D CT images to avoid damaging the mandibular nerve inside the canal. In this paper, we propose a novel dual-stage deep learning-b...

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Bibliographic Details
Main Authors: Muhammad Usman, Azka Rehman, Amal Muhammad Saleem, Rabeea Jawaid, Shi-Sub Byon, Sung-Hyun Kim, Byoung-Dai Lee, Min-Suk Heo, Yeong-Gil Shin
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
mandibular canal
3D segmentation
jaw localization
CBCT
Online Access:https://www.mdpi.com/1424-8220/22/24/9877

Internet

https://www.mdpi.com/1424-8220/22/24/9877

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