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Shortage of annotated data is one of the greatest bottlenecks related to deep learning in healthcare. Methods proposed to address this issue include transfer learning, crowdsourcing and self-supervised learning. More recently, first attempts to leverage the concept of meta learning have been made. Meta learning studies how learning systems can increase in efficiency through experience, where experience can be represented by solutions to tasks connected to previously acquired data, for example. A core capability of meta learning-based approaches is the identification of similar previous tasks given a new task. Quantifying the similarity between tasks, however, is an open research problem. We address this challenge by investigating two complementary approaches: (1) Leveraging images and labels to embed a complete data set in a vector of fixed length that serves as a task fingerprint (2) Directly comparing the distributions of the images with sample-based and optimal transport-based methods, thereby neglecting the labels.
Author Information
Patrick Scholz (German Cancer Research Center)
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Annika Reinke · Lena Maier-Hein · Patrick Scholz · Minu D. Tizabi · Evangelia Christodoulou · Ben Glocker · Fabian Isensee · Jens Kleesiek · Michal Kozubek · Mauricio Reyes · Michael A. Riegler · Manuel Wiesenfarth · Michael Baumgartner · Matthias Eisenmann · Doreen Heckmann-Nötzel · A. Kavur · Tim Rädsch · Laura Acion · Michela Antonelli · Tal Arbel · Spyridon Bakas · Pete Bankhead · Arriel Benis · Florian Buettner · M. Jorge Cardoso · Veronika Cheplygina · Beth Cimini · Gary Collins · Keyvan Farahani · Luciana Ferrer · Adrian Galdran · Bram van Ginneken · Robert Haase · Daniel Hashimoto · Michael Hoffman · Merel Huisman · Pierre Jannin · Charles Kahn · Dagmar Kainmueller · Alexandros Karargyris · Bernhard Kainz · Alan Karthikesalingam · Hannes Kenngott · Florian Kofler · Annette Kopp-Schneider · Anna Kreshuk · Tahsin Kurc · Bennett Landman · Geert Litjens · Amin Madani · Klaus H. Maier-Hein · Anne Martel · Peter Mattson · Erik Meijering · Bjoern Menze · David Moher · Karel G.M. Moons · Henning Mueller · Brennan Nichyporuk · Felix Nickel · Jens Petersen · Nasir Rajpoot · Nicola Rieke · Julio Saez-Rodriguez · Clarisa Sanchez · Shravya Shetty · Maarten van Smeden · Carole Sudre · Ronald Summers · Abdel Aziz Taha · Sotirios Tsaftaris · Ben Ben Van Calster · Gaël Varoquaux · Paul Jäger