[AConvLSTM U-Net: a multi-scale jaw cyst segmentation model based on bidirectional dense connection and attention mechanism].
The proposed algorithm shows a high accuracy and robustness on the jaw cyst dataset, demonstrating its superior performance over many existing methods for automatic segmentation of jaw cyst images and its potential to assist clinical diagnosis.
Authors
- Sixian Chan (ORCID: https://orcid.org/0000-0001-8916-1174)
- Xiaolong Zhou (ORCID: https://orcid.org/0000-0003-0732-5169)
- Suqiang Li (ORCID: https://orcid.org/0000-0003-3262-9236)
- Zhouyang Wang
Institutions
- Anhui Jianzhu University (CN)
- Quzhou University (CN)
- Zhejiang University of Technology (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-05-20
- DOI
- https://doi.org/10.12122/j.issn.1673-4254.2025.05.22
- Primary Topic
- Dental Radiography and Imaging
- Type
- article