2017 | OriginalPaper | Buchkapitel
Invited Talk: U-Net Convolutional Networks for Biomedical Image Segmentation
verfasst von : Olaf Ronneberger
Erschienen in: Bildverarbeitung für die Medizin 2017
Verlag: Springer Berlin Heidelberg
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In the last years, deep convolutional networks have outperformed the state of the art in many visual recognition tasks. A central challenge for its wide adoption in the bio-medical imaging field is the limited amount of annotated training images. In this talk, I will present our u-net for biomedical image segmentation. The architecture consists of an analysis path and a synthesis path with additional shortcut-connections.