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UNet++: A Nested U-Net Architecture for Medical Image Segmentation
In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of nested, dense skip pathways. The re-designed sk...
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| Publicado no: | Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7329239/ https://ncbi.nlm.nih.gov/pubmed/32613207 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-00889-5_1 |
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