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Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation
Deep learning can bring time savings and increased reproducibility to medical image analysis. However, acquiring training data is challenging due to the time-intensive nature of labeling and high inter-observer variability in annotations. Rather than labeling images, in this work we propose an alter...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493532/ https://www.ncbi.nlm.nih.gov/pubmed/33444134 http://dx.doi.org/10.1109/TMI.2021.3051806 |