APA (7th ed.) Citation

Pan, X., Jin, K., Cao, J., Liu, Z., Wu, J., You, K., . . . Ye, J. (2020). Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning. Graefe's archive for clinical and experimental ophthalmology, 258(4), 779-785. https://doi.org/10.1007/s00417-019-04575-w

Chicago Style (17th ed.) Citation

Pan, Xiangji, et al. "Multi-label Classification of Retinal Lesions in Diabetic Retinopathy for Automatic Analysis of Fundus Fluorescein Angiography Based on Deep Learning." Graefe's Archive for Clinical and Experimental Ophthalmology 258, no. 4 (2020): 779-785. https://doi.org/10.1007/s00417-019-04575-w.

MLA (9th ed.) Citation

Pan, Xiangji, et al. "Multi-label Classification of Retinal Lesions in Diabetic Retinopathy for Automatic Analysis of Fundus Fluorescein Angiography Based on Deep Learning." Graefe's Archive for Clinical and Experimental Ophthalmology, vol. 258, no. 4, 2020, pp. 779-785, https://doi.org/10.1007/s00417-019-04575-w.