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Multimodal Glioma Segmentation with Fusion of Multiple Self-attention and Deformable Convolutions

The magnetic resonance image segmentation of glioma is significant in disease diagnosis, surgical planning, and determination of treatment plans such as radiotherapy. In response to the problem of low segmentation accuracy, inaccurate edge segmentation, and prone to false positives in existing brain...

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Principais autores: ZHAO Xin, ZHANG Xin, LI Xinjie, WANG Hongkai
Formato: Artigo
Idioma:Chinês
Publicado em: Science Press 2023-09-01
coleção:Chinese Journal of Magnetic Resonance
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Acesso em linha:http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-3-280.shtml
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