Segmentation of 3D Non-Contrast CT Brain Images Using Transformer Neural Networks › Research Explorer

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Segmentation of 3D Non-Contrast CT Brain Images Using Transformer Neural Networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Department of Mechanics and Mathematics

DOI

https://doi.org/10.1109/SIBIRCON63777.2024.10758478
Final published version

Original language	English
Title of host publication	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	173-177
Number of pages	5
ISBN (Print)	9798331532024
DOIs	https://doi.org/10.1109/SIBIRCON63777.2024.10758478
Publication status	Published - 26 Nov 2024
Event	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences - Новосибирск, Russian Federation Duration: 30 Sept 2024 → 2 Nov 2024

Publication series

Name	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024

Conference

Conference	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences
Abbreviated title	SIBIRCON 2024
Country/Territory	Russian Federation
City	Новосибирск
Period	30.09.2024 → 02.11.2024

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES

Research areas

ischemic stroke, neural networks, non-contrast CT, semantic segmentation, swin-transformer

ID: 61787556