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RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning
Deep-learning algorithms typically fall within the domain of supervised artificial intelligence and are designed to “learn” from annotated data. Deep-learning models require large, diverse training datasets for optimal model convergence. The effort to curate these datasets is widely regarded as a ba...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646456/ https://www.ncbi.nlm.nih.gov/pubmed/31089974 http://dx.doi.org/10.1007/s10278-019-00232-0 |