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

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 available and th...

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Detalles Bibliográficos
Autores principales: Mühlberg, Alexander, Ritter, Paul, Langer, Simon, Goossens, Chloë, Nübler, Stefanie, Schneidereit, Dominik, Taubmann, Oliver, Denzinger, Felix, Nörenberg, Dominik, Haug, Michael, Schürmann, Sebastian, Horstmeyer, Roarke, Maier, Andreas K., Goldmann, Wolfgang H., Friedrich, Oliver, Kreiss, Lucas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558688/
https://www.ncbi.nlm.nih.gov/pubmed/37582656
http://dx.doi.org/10.1002/advs.202206319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558688/
https://www.ncbi.nlm.nih.gov/pubmed/37582656
http://dx.doi.org/10.1002/advs.202206319

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