JOURNAL ARTICLE

Swin Transformer Assisted Prior Attention Network for Medical Image Segmentation

Abstract

research-article Share on Swin Transformer Assisted Prior Attention Network for Medical Image Segmentation Authors: Zhihao Liao Department of Electronic Information Engineering, Nanchang University, China Department of Electronic Information Engineering, Nanchang University, ChinaSearch about this author , Kai Xu Department of Electronic Information Engineering, Nanchang University, China Department of Electronic Information Engineering, Nanchang University, ChinaSearch about this author , Neng Fan Department of Electronic Information Engineering, Nanchang University, China Department of Electronic Information Engineering, Nanchang University, ChinaSearch about this author Authors Info & Claims ICCAI '22: Proceedings of the 8th International Conference on Computing and Artificial IntelligenceMarch 2022 Pages 491–497https://doi.org/10.1145/3532213.3532287Online:13 July 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Keywords:
Citation China Computer science Information engineering Library science Engineering Information system History Electrical engineering

Metrics

15
Cited By
1.86
FWCI (Field Weighted Citation Impact)
12
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Machine Learning and ELM
Physical Sciences →  Computer Science →  Artificial Intelligence

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