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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Podrobná bibliografie

Hlavní autoři:	Wei Kwek Soh, Hing Yee Yuen, Jagath C. Rajapakse
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2023-12-01
Edice:	Heliyon
Témata:	Brain tumour Brain lesions Multimodal MRI Single-modal MRI Self-supervised segmentation Vision transformer
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2405844023096202
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