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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Detalles Bibliográficos
Autores principales: Otálora, Sebastian, Marini, Niccolò, Müller, Henning, Atzori, Manfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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