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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Digit Imaging |
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| Κύριοι συγγραφείς: | , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Springer International Publishing
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6646456/ https://ncbi.nlm.nih.gov/pubmed/31089974 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00232-0 |
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