Advanced Deep Learning Methods

  • Paul Jäger
  • Fabian Isensee
  • Jens Petersen
  • David Zimmerer
  • Jakob Wasserthal
  • Klaus Hermann Maier-Hein
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

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.

Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  • Paul Jäger
    • 1
  • Fabian Isensee
    • 1
  • Jens Petersen
    • 1
  • David Zimmerer
    • 1
  • Jakob Wasserthal
    • 1
  • Klaus Hermann Maier-Hein
    • 1
  1. 1.Division of Medical Image ComputingGerman Cancer Research Center (DKFZ)HeidelbergDeutschland

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