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Journal Abstract Search
287 related items for PubMed ID: 28922110
1. An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images. Adal KM, van Etten PG, Martinez JP, Rouwen KW, Vermeer KA, van Vliet LJ. IEEE Trans Biomed Eng; 2018 Jun; 65(6):1382-1390. PubMed ID: 28922110 [Abstract] [Full Text] [Related]
2. Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening. Seoud L, Hurtut T, Chelbi J, Cheriet F, Langlois JM. IEEE Trans Med Imaging; 2016 Apr; 35(4):1116-26. PubMed ID: 26701180 [Abstract] [Full Text] [Related]
7. A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy. S K S, P A. J Med Syst; 2017 Nov 09; 41(12):201. PubMed ID: 29124453 [Abstract] [Full Text] [Related]
8. Decision support system for diabetic retinopathy using discrete wavelet transform. Noronha K, Acharya UR, Nayak KP, Kamath S, Bhandary SV. Proc Inst Mech Eng H; 2013 Mar 09; 227(3):251-61. PubMed ID: 23662341 [Abstract] [Full Text] [Related]
9. Retinal image analysis for disease screening through local tetra patterns. Porwal P, Pachade S, Kokare M, Giancardo L, Mériaudeau F. Comput Biol Med; 2018 Nov 01; 102():200-210. PubMed ID: 30308336 [Abstract] [Full Text] [Related]
10. Automated retinal health diagnosis using pyramid histogram of visual words and Fisher vector techniques. Koh JEW, Ng EYK, Bhandary SV, Hagiwara Y, Laude A, Acharya UR. Comput Biol Med; 2018 Jan 01; 92():204-209. PubMed ID: 29227822 [Abstract] [Full Text] [Related]
18. Distinguising Proof of Diabetic Retinopathy Detection by Hybrid Approaches in Two Dimensional Retinal Fundus Images. S K, D M. J Med Syst; 2019 May 08; 43(6):173. PubMed ID: 31069550 [Abstract] [Full Text] [Related]