Publisher
Springer Science and Business Media LLC
Reference60 articles.
1. Al Ayoubi W, Shalash WM, Abulkhair MF. Diabetic retinopathy detection through deep learning techniques: a review. Inf Med Unlocked. 2020;20:1–11.
2. Benbassat J, Polak BC. Reliability of screening methods for diabetic retinopathy. Diabet Med. 2009;26(8):783–90.
3. Bodapati JD, Naralasetti V, Shareef SN, Hakak S, Bilal M, Maddikunta PKR, Jo O. Blended multi-modal deep ConvNet features for diabetic retinopathy severity prediction. Electronics. 2020;9(6):1–16. https://doi.org/10.3390/electronics9060914.
4. Bora A, Balasubramanian S, Babenko B, Virmani S, Venugopalan S, Mitani A, Bavishi P. Predicting the risk of developing diabetic retinopathy using deep learning. Lancet Digit Health. 2020;3(1):10–9. https://doi.org/10.1016/s2589-7500(20)30250-8.
5. Brahami M, Sabri M, Matta N. Towards a model to improve Boolean knowledge mapping by using text mining and its applications: case study in healthcare. Int J Inf Retr Res. 2020;10(3):40–58.
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献