Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet-Reference-Cited by-同舟云学术

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Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet

Published:2023-06 Issue: Volume: Page:
ISSN:2212-4403
Container-title:Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
language:en
Short-container-title:Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

Author:

Çelebi Adalet,Imak Andaç^ORCID,Üzen Hüseyin,Budak Ümit,Türkoğlu Muammer,Hanbay Davut,Şengür Abdulkadir

Funder

T.C. Küçük ve Orta Ölçekli İşletmeleri Geliştirme ve Destekleme İdaresi Başkanlığı

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Dentistry (miscellaneous),Pathology and Forensic Medicine,Oral Surgery,Surgery

Reference50 articles.

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2. Image segmentation by histogram thresholding using fuzzy sets;Tobias;IEEE Trans Image Process,2002

3. A fuzzy variational model for segmentation of images having intensity inhomogeneity and slight texture;Ahmad;Soft Comput,2020

4. Brain tumor detection and segmentation using watershed segmentation and morphological operation;Oo;Int J Res Eng Technol,2014

5. Active contours without edges;Chan;IEEE Trans Image Process,2001

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images;Dentomaxillofacial Radiology;2024-03-19

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