EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation

Although various methods based on convolutional neural networks have improved the performance of biomedical image segmentation to meet the precision requirements of medical imaging segmentation task, medical image segmentation methods based on deep learning still need to solve the following problems...

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Detalles Bibliográficos
Autores principales: Pan, Shaoming, Liu, Xin, Xie, Ningdi, Chong, Yanwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989586/
https://www.ncbi.nlm.nih.gov/pubmed/36882688
http://dx.doi.org/10.1186/s12859-023-05196-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989586/
https://www.ncbi.nlm.nih.gov/pubmed/36882688
http://dx.doi.org/10.1186/s12859-023-05196-1

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