BOOK-CHAPTER
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali HatamizadehVishwesh NathYucheng TangDong YangHolger R. RothDaguang Xu
Year: 2022 Lecture notes in computer science Pages: 272-284 Publisher: Springer Science+Business Media
Keywords:
Computer science Artificial intelligence Segmentation Computer vision Transformer Electrical engineering
Metrics
1285
Cited By
513.75
FWCI (Field Weighted Citation Impact)
33
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Brain Tumor Detection and Classification
Life Sciences → Neuroscience → Neurology
Advanced Neural Network Applications
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Related Documents
JOURNAL ARTICLE
DENSE SWIN-UNET: DENSE SWIN TRANSFORMERS FOR SEMANTIC SEGMENTATION OF PNEUMOTHORAX IN CT IMAGES
Zhixian TangJinyang ZhangChulin BaiYan ZhangKAIYI LIANGXufeng Yao
Journal: Journal of Mechanics in Medicine and Biology Year: 2023 Vol: 23 (08)
JOURNAL ARTICLE
Lite Swin UNETR: A Lightweight Version of Swin UNETR for Efficient 3D Medical Image Segmentation
Junyoung ParkMinyoung ParkTaikyeong JeongSungwook Yu
Journal: Journal of Electrical Engineering and Technology Year: 2025 Vol: 20 (8)Pages: 5455-5469
BOOK-CHAPTER
Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor
Swagata KunduDimitrios ToumpanakisJohan WikströmRobin StrandAshis Kumar Dhara
Communications in computer and information science Year: 2025 Pages: 234-245
JOURNAL ARTICLE
Large blood vessel segmentation in quantitative DCE-MRI of brain tumors: A Swin UNETR approach
Anshika KesariSatyajit MauryaMohammad Tufail SheikhRakesh GuptaAnup Singh
Journal: Magnetic Resonance Imaging Year: 2025 Vol: 118 Pages: 110342-110342