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Intracerebral hemorrhage CT scan image segmentation with HarDNet based transformer
Although previous studies conducted on the segmentation of hemorrhage images were based on the U-Net model, which comprises an encoder-decoder architecture, these models exhibit low parameter passing efficiency between the encoder and decoder, large model size, and slow speed. Therefore, to overcome...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156735/ https://www.ncbi.nlm.nih.gov/pubmed/37137921 http://dx.doi.org/10.1038/s41598-023-33775-y |