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Semantic segmentation in medical images through transfused convolution and transformer networks
Recent decades have witnessed rapid development in the field of medical image segmentation. Deep learning-based fully convolution neural networks have played a significant role in the development of automated medical image segmentation models. Though immensely effective, such networks only take into...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035506/ https://www.ncbi.nlm.nih.gov/pubmed/35498554 http://dx.doi.org/10.1007/s10489-022-03642-w |