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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105943/ https://www.ncbi.nlm.nih.gov/pubmed/33964886 http://dx.doi.org/10.1186/s12880-021-00609-0 |