HUT: Hybrid UNet Transformer for brain lesion and tumour segmentation

• Main Authors: Soh, Wei Kwek, Yuen, Hing Yee, Rajapakse, Jagath Chandana
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Engineering::Computer science and engineering; Brain Tumour; Brain Lesions
• 在線閱讀: https://hdl.handle.net/10356/173044
• 機構: Nanyang Technological University

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...