Details

Autor(en) / Beteiligte

• Fu, Weilin
• Breininger, Katharina
• Schaffert, Roman
• Ravikumar, Nishant
• Maier, Andreas
• Deserno, Thomas M.
• Handels, Heinz
• Tolxdorff, Thomas
• Palm, Christoph
• Maier-Hein, Klaus H.

Titel

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks

Ist Teil von

• Bildverarbeitung für die Medizin 2020, 2020, p.313-313

Ort / Verlag

Wiesbaden: Springer Fachmedien Wiesbaden

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Deep neural networks have achieved tremendous success in various fields including medical image segmentation. However, they have long been criticized for being a black-box, in that interpretation, understanding and correcting architectures is diffcult as there is no general theory for deep neural network design. Previously, precision learning was proposed to fuse deep architectures and traditional approaches.