Abdulbaki Alshirbaji, T.; Jalal, N.A.; Docherty, P.D.; Neumuth, T.; Möller, K.
Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation. Electronics 2022, 11, 2849.
https://doi.org/10.3390/electronics11182849
AMA Style
Abdulbaki Alshirbaji T, Jalal NA, Docherty PD, Neumuth T, Möller K.
Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation. Electronics. 2022; 11(18):2849.
https://doi.org/10.3390/electronics11182849
Chicago/Turabian Style
Abdulbaki Alshirbaji, Tamer, Nour Aldeen Jalal, Paul David Docherty, Thomas Neumuth, and Knut Möller.
2022. "Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation" Electronics 11, no. 18: 2849.
https://doi.org/10.3390/electronics11182849
APA Style
Abdulbaki Alshirbaji, T., Jalal, N. A., Docherty, P. D., Neumuth, T., & Möller, K.
(2022). Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation. Electronics, 11(18), 2849.
https://doi.org/10.3390/electronics11182849
