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Deep learning with mixed supervision for brain tumor segmentation
Most of the current state-of-the-art methods for tumor segmentation are based on machine learning models trained manually on segmented images. This type of training data is particularly costly, as manual delineation of tumors is not only time-consuming but also requires medical expertise. On the oth...
Zapisane w:
| Wydane w: | J Med Imaging (Bellingham) |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6689144/ https://ncbi.nlm.nih.gov/pubmed/31423456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.3.034002 |
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