Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets

• Main Authors: Soh, Wei Kwek, Rajapakse, Jagath Chandana
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Computer science and engineering; Computed Tomography Perfusion Imaging; Ischemic Strokes
• Online Access: https://hdl.handle.net/10356/173149
• Institution: Nanyang Technological University

A hybrid UNet and Transformer (HUT) network is introduced to combine the merits of the UNet and Transformer architectures, improving brain lesion segmentation from MRI and CT scans. The HUT overcomes the limitations of conventional approaches by utilizing two parallel stages: one based on UNet and t...