Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist's diagnostic process of arteriolosclerosis.

MLA

Liangzhi Li, et al. “Automated Grading System of Retinal Arterio-Venous Crossing Patterns: A Deep Learning Approach Replicating Ophthalmologist’s Diagnostic Process of Arteriolosclerosis.” PLOS Digital Health, vol. 2, no. 1, Jan. 2023, p. e0000174. EBSCOhost, https://doi.org/10.1371/journal.pdig.0000174.

APA

Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Hajime Nagahara, & Ryo Kawasaki. (2023). Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis. PLOS Digital Health, 2(1), e0000174. https://doi.org/10.1371/journal.pdig.0000174

Chicago

Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Hajime Nagahara, and Ryo Kawasaki. 2023. “Automated Grading System of Retinal Arterio-Venous Crossing Patterns: A Deep Learning Approach Replicating Ophthalmologist’s Diagnostic Process of Arteriolosclerosis.” PLOS Digital Health 2 (1): e0000174. doi:10.1371/journal.pdig.0000174.