Article Versions Notes

Maunz A, Benmansour F, Li Y, Albrecht T, Zhang Y-P, Arcadu F, Zheng Y, Madhusudhan S, Sahni J. Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography. Journal of Personalized Medicine. 2021; 11(6):524. https://doi.org/10.3390/jpm11060524

Maunz, Andreas, Fethallah Benmansour, Yvonna Li, Thomas Albrecht, Yan-Ping Zhang, Filippo Arcadu, Yalin Zheng, Savita Madhusudhan, and Jayashree Sahni. 2021. "Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography" Journal of Personalized Medicine 11, no. 6: 524. https://doi.org/10.3390/jpm11060524

Maunz, A., Benmansour, F., Li, Y., Albrecht, T., Zhang, Y.-P., Arcadu, F., Zheng, Y., Madhusudhan, S., & Sahni, J. (2021). Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography. Journal of Personalized Medicine, 11(6), 524. https://doi.org/10.3390/jpm11060524