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Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image while highlighting salient features useful for a spec...
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| Publicado no: | Med Image Anal |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7610718/ https://ncbi.nlm.nih.gov/pubmed/30802813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2019.01.012 |
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