Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images

Abstract Background The purpose of this study was to compare the segmentation performances of the 2D, 2.5D, and 3D networks for maxillary sinuses (MSs) and lesions inside the maxillary sinus (MSL) with variations in sizes, shapes, and locations in cone beam CT (CBCT) images under the same constraint...

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Bibliographic Details

Published in:	BMC Oral Health
Main Authors:	Yeon-Sun Yoo, DaEl Kim, Su Yang, Se-Ryong Kang, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi
Format:	Article
Language:	English
Published:	BMC 2023-11-01
Subjects:	Deep learning CBCT image Maxillary sinus segmentation Maxillary sinus lesion segmentation 2.5D network
Online Access:	https://doi.org/10.1186/s12903-023-03607-6