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Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
BACKGROUND: One challenge to train deep convolutional neural network (CNNs) models with whole slide images (WSIs) is providing the required large number of costly, manually annotated image regions. Strategies to alleviate the scarcity of annotated data include: using transfer learning, data augmenta...
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| Gepubliceerd in: | BMC Med Imaging |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8105943/ https://ncbi.nlm.nih.gov/pubmed/33964886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-021-00609-0 |
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