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Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation
Deep convolutional neural network (DCNN) has shown great success in various medical image segmentation tasks, including organ-at-risk (OAR) segmentation from computed tomography (CT) images. However, most studies use the dataset from the same source(s) for training and testing so that the ability of...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8035811/ https://ncbi.nlm.nih.gov/pubmed/32079002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab7877 |
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