Konradi, J.; Zajber, M.; Betz, U.; Drees, P.; Gerken, A.; Meine, H.
AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome. Sensors 2022, 22, 9468.
https://doi.org/10.3390/s22239468
AMA Style
Konradi J, Zajber M, Betz U, Drees P, Gerken A, Meine H.
AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome. Sensors. 2022; 22(23):9468.
https://doi.org/10.3390/s22239468
Chicago/Turabian Style
Konradi, Jürgen, Milla Zajber, Ulrich Betz, Philipp Drees, Annika Gerken, and Hans Meine.
2022. "AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome" Sensors 22, no. 23: 9468.
https://doi.org/10.3390/s22239468
APA Style
Konradi, J., Zajber, M., Betz, U., Drees, P., Gerken, A., & Meine, H.
(2022). AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome. Sensors, 22(23), 9468.
https://doi.org/10.3390/s22239468