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pro vyhledávání: '"Jens P E Schouten"'
Autor:
Jens P. E. Schouten, Christian Matek, Luuk F. P. Jacobs, Michèle C. Buck, Dragan Bošnački, Carsten Marr
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract 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 ann
Externí odkaz:
https://doaj.org/article/61eba0d963d64a72884cde1b14ed2b2a
Autor:
Christian Matek, Carsten Marr, Luuk F P Jacobs, Michèle C. Buck, Dragan Bošnački, Jens P E Schouten
Publikováno v:
Sci. Rep. 11:7995 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports, 11(1):7995. Nature Publishing Group
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports, 11(1):7995. Nature Publishing Group
Scientific Reports
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 r