Author:
Chowdary Kadiyala Likitha,Manne Suneetha,Harshitha Lakshmi Yenduri
Publisher
Springer Nature Singapore
Reference20 articles.
1. Hewing NJ, Kaufman DR, Paul Chan RV, et al (2013) Plus disease in retinopathy of prematurity qualitative analysis of diagnostic process by experts jamaophthalmol. 135
2. Wang J, Ju R, Chen Y, Zhang L, Hu J, Wu Y, Dong W, Zhong J, Yi Z (2018) Automated retinopathy of prematurity screening using deep neural networks
3. Huang Y-P, Vadloori S, Chu H-C, Yu-Chuan Kang E, Kusaka W-CWS, Fukushima Y (2020) Deep learning models for automated diagnosis of retinopathy of prematurity in preterm infants
4. Scruggs BA, Paul Chan RV, Kalpathy-Cramer J, Chiang MF, Campbell JP (2020) Artificial intelligence in retinopathy of prematurity diagnosis
5. Dong Y, Liu Y, Chen Q, Wang Y, Cheng B, Qin S, Meng L, Li S, Zhang Y, Zhang A, Yan W, Dong Y, Cheng S, Li M, Yu Z (2021) Using ROPScore and CHOP ROP for early prediction of retinopathy of prematurity in a Chinese population