Tens of images can suffice to train neural networks for malignant leukocyte detection

Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It is commonly assumed that training CNNs requires large amounts of annotated data. This is a bottleneck in many medical applications where annotation relies on expert knowledge. Here, we analyze the bi...

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Detalles Bibliográficos
Autores principales: Schouten, Jens P. E., Matek, Christian, Jacobs, Luuk F. P., Buck, Michèle C., Bošnački, Dragan, Marr, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042012/
https://www.ncbi.nlm.nih.gov/pubmed/33846442
http://dx.doi.org/10.1038/s41598-021-86995-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042012/
https://www.ncbi.nlm.nih.gov/pubmed/33846442
http://dx.doi.org/10.1038/s41598-021-86995-5

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