Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution

BACKGROUND: Semantic segmentation of brain tumors plays a critical role in clinical treatment, especially for three-dimensional (3D) magnetic resonance imaging, which is often used in clinical practice. Automatic segmentation of the 3D structure of brain tumors can quickly help physicians understand...

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Detalles Bibliográficos
Autores principales: Cai, Yimin, Long, Yuqing, Han, Zhenggong, Liu, Mingkun, Zheng, Yuchen, Yang, Wei, Chen, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926542/
https://www.ncbi.nlm.nih.gov/pubmed/36788560
http://dx.doi.org/10.1186/s12911-023-02129-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926542/
https://www.ncbi.nlm.nih.gov/pubmed/36788560
http://dx.doi.org/10.1186/s12911-023-02129-z

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