Nunez do Rio, J.M.; Sen, P.; Rasheed, R.; Bagchi, A.; Nicholson, L.; Dubis, A.M.; Bergeles, C.; Sivaprasad, S.
Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography. J. Clin. Med. 2020, 9, 2537.
https://doi.org/10.3390/jcm9082537
AMA Style
Nunez do Rio JM, Sen P, Rasheed R, Bagchi A, Nicholson L, Dubis AM, Bergeles C, Sivaprasad S.
Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography. Journal of Clinical Medicine. 2020; 9(8):2537.
https://doi.org/10.3390/jcm9082537
Chicago/Turabian Style
Nunez do Rio, Joan M., Piyali Sen, Rajna Rasheed, Akanksha Bagchi, Luke Nicholson, Adam M. Dubis, Christos Bergeles, and Sobha Sivaprasad.
2020. "Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography" Journal of Clinical Medicine 9, no. 8: 2537.
https://doi.org/10.3390/jcm9082537
APA Style
Nunez do Rio, J. M., Sen, P., Rasheed, R., Bagchi, A., Nicholson, L., Dubis, A. M., Bergeles, C., & Sivaprasad, S.
(2020). Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography. Journal of Clinical Medicine, 9(8), 2537.
https://doi.org/10.3390/jcm9082537
