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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
A key limitation of deep convolutional neural network (DCNN)-based image segmentation methods is the lack of generalizability. Manually traced training images are typically required when segmenting organs in a new imaging modality or from distinct disease cohort. The manual efforts can be alleviated...
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| Publicado no: | IEEE Trans Med Imaging |
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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/PMC6504618/ https://ncbi.nlm.nih.gov/pubmed/30334788 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2876633 |
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