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Development of Deep Learning with RDA U-Net Network for Bladder Cancer Segmentation
SIMPLE SUMMARY: This study proposed the “Residual-Dense-Attention” (RDA) U-Net model architecture to automatically segment organs and lesions in computed tomography (CT) images. The RDA U-Net used ResBlock and DenseBlock at the encoder. Attention gates were used at the decoder position to help the m...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954660/ https://www.ncbi.nlm.nih.gov/pubmed/36831685 http://dx.doi.org/10.3390/cancers15041343 |