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MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
BACKGROUND: The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medical image segmentation pipelines. Already implemen...
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| Publicado no: | BMC Med Imaging |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7814713/ https://ncbi.nlm.nih.gov/pubmed/33461500 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-020-00543-7 |
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