Wegner, F.K.; Benesch Vidal, M.L.; Niehues, P.; Willy, K.; Radke, R.M.; Garthe, P.D.; Eckardt, L.; Baumgartner, H.; Diller, G.-P.; Orwat, S.
Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets. J. Clin. Med. 2022, 11, 690.
https://doi.org/10.3390/jcm11030690
AMA Style
Wegner FK, Benesch Vidal ML, Niehues P, Willy K, Radke RM, Garthe PD, Eckardt L, Baumgartner H, Diller G-P, Orwat S.
Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets. Journal of Clinical Medicine. 2022; 11(3):690.
https://doi.org/10.3390/jcm11030690
Chicago/Turabian Style
Wegner, Felix K., Maria L. Benesch Vidal, Philipp Niehues, Kevin Willy, Robert M. Radke, Philipp D. Garthe, Lars Eckardt, Helmut Baumgartner, Gerhard-Paul Diller, and Stefan Orwat.
2022. "Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets" Journal of Clinical Medicine 11, no. 3: 690.
https://doi.org/10.3390/jcm11030690
APA Style
Wegner, F. K., Benesch Vidal, M. L., Niehues, P., Willy, K., Radke, R. M., Garthe, P. D., Eckardt, L., Baumgartner, H., Diller, G. -P., & Orwat, S.
(2022). Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets. Journal of Clinical Medicine, 11(3), 690.
https://doi.org/10.3390/jcm11030690
