HUT: Hybrid UNet Transformer for brain lesion and tumour segmentation
A supervised deep learning network like the UNet has performed well in segmenting brain anomalies such as lesions and tumours. However, such methods were proposed to perform on single-modality or multi-modality images. We use the Hybrid UNet Transformer (HUT) to improve performance in single-modalit...
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Main Authors: | Soh, Wei Kwek, Yuen, Hing Yee, Rajapakse, Jagath Chandana |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/173044 |
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Institution: | Nanyang Technological University |
Language: | English |
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