SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology

• Main Authors: Mühlberg, Alexander, Ritter, Paul, Langer, Simon, Goossens, Chloë, Nübler, Stefanie, Schneidereit, Dominik, Taubmann, Oliver, Denzinger, Felix, Nörenberg, Dominik, Haug, Michael, Goldmann, Wolfgang H, Maier, Andreas K, Friedrich, Oliver, Kreiss, Lucas
• Format: Journal Article
• Language: English
• Published: 28.10.2022
• Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Learning; Quantitative Biology - Quantitative Methods

Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as a black box, exclude biomedical experts, and need extensive data. We introduce the Self-Enhancing Multi-Photon Artificial Intelligence (SEMPAI), that integrates hypothesis-driven priors in a data-driv...