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

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

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...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/173149

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