SEMPAI: a Self‐Enhancing Multi‐Photon Artificial Intelligence for Prior‐Informed Assessment of Muscle Function and Pathology

SEMPAI: a Self‐Enhancing Multi‐Photon Artificial Intelligence for Prior‐Informed Assessment of Muscle Function and Pathology

Abstract Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as black boxes, exclude biomedical experts, and need extensive data. This is especially problematic for fundamental research in the laboratory, where often only small and sparse data are availab...

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Bibliographic Details
Main Authors: Alexander Mühlberg, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Sebastian Schürmann, Roarke Horstmeyer, Andreas K. Maier, Wolfgang H. Goldmann, Oliver Friedrich, Lucas Kreiss
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Advanced Science
Subjects:
deep learning
explainable artificial intelligence
meta‐learning
multiphoton microscopy
muscle research
prior information integration
Online Access:https://doi.org/10.1002/advs.202206319

Internet

https://doi.org/10.1002/advs.202206319

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