Accuracy of a Cascade Network for Semi‐Supervised Maxillary Sinus Detection and Sinus Cyst Classification

The proposed pipeline achieves high-precision detection and classification of maxillary sinus mucosal lesions, reducing manual annotation while maintaining accuracy.

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Publication Details

Journal
Clinical Implant Dentistry and Related Research
Published
2025-02-01
DOI
https://doi.org/10.1111/cid.13431
Citations
2
Primary Topic
Sinusitis and nasal conditions
Type
article
Field-Weighted Citation Impact
3.70

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article

Accuracy of a Cascade Network for Semi‐Supervised Maxillary Sinus Detection and Sinus Cyst Classification

Jialing Wei, Xueqi Guo, Zelun Huang, Yongshan Li et al.
2 citations
Clinical Implant Dentistry and Related Research
Sinusitis and nasal conditions
3.70
article

Accuracy of a Cascade Network for Semi‐Supervised Maxillary Sinus Detection and Sinus Cyst Classification

Jialing Wei, Xueqi Guo, Zelun Huang, Yongshan Li, Haoran Zheng, Shiyong Zhao, Jieying Huang
article en
2 citations

Abstract

The proposed pipeline achieves high-precision detection and classification of maxillary sinus mucosal lesions, reducing manual annotation while maintaining accuracy.

Clinical Implant Dentistry and Related ResearchVol. 27(1)
University of Auckland (NZ), Jinan University (CN), Shenzhen Technology University (CN), Guangdong Provincial People's Hospital (CN), Guangzhou Medical University (CN)
Guangzhou Medical University
Openalex Percentile: Top 9%
Sinusitis and nasal conditions
3.70
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