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Contextual Additive Networks to Efficiently Boost 3D Image Segmentations
Semantic segmentation for 3D medical images is an important task for medical image analysis which would benefit from more efficient approaches. We propose a 3D segmentation framework of cascaded fully convolutional networks (FCNs) with contextual inputs and additive outputs. Compared to previous con...
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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/PMC6590074/ https://ncbi.nlm.nih.gov/pubmed/31236544 |
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