Zusammenfassung
The remarkable rise of deep learning has led to an overwhelming amount of new papers coming up by the week. This tutorial intents to filter out the research most relevant for the medical image computing (MIC) community and present it in a structured and understandable form. It is composed of five parts: Classification, Segmentation, Detection, Generative Models and Semi- Supervised Learning.
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© 2018 Springer-Verlag GmbH Deutschland
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Jäger, P., Isensee, F., Petersen, J., Zimmerer, D., Wasserthal, J., Maier-Hein, K.H. (2018). Advanced Deep Learning Methods. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_6
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DOI: https://doi.org/10.1007/978-3-662-56537-7_6
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Publisher Name: Springer Vieweg, Berlin, Heidelberg
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Online ISBN: 978-3-662-56537-7
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