These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
193 related articles for article (PubMed ID: 29156536)
21. Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System. Jaya T; Dheeba J; Singh NA J Digit Imaging; 2015 Dec; 28(6):761-8. PubMed ID: 25822397 [TBL] [Abstract][Full Text] [Related]
22. Detection of exudates in fundus images using a Markovian segmentation model. Harangi B; Hajdu A Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():130-3. PubMed ID: 25569914 [TBL] [Abstract][Full Text] [Related]
23. Multimedia data mining for automatic diabetic retinopathy screening. Quellec G; Lamard M; Cochener B; Decencière E; Lay B; Chabouis A; Roux C; Cazuguel G Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7144-7. PubMed ID: 24111392 [TBL] [Abstract][Full Text] [Related]
24. A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis. Sánchez CI; Hornero R; López MI; Aboy M; Poza J; Abásolo D Med Eng Phys; 2008 Apr; 30(3):350-7. PubMed ID: 17556004 [TBL] [Abstract][Full Text] [Related]
25. Automated detection of diabetic retinopathy on digital fundus images. Sinthanayothin C; Boyce JF; Williamson TH; Cook HL; Mensah E; Lal S; Usher D Diabet Med; 2002 Feb; 19(2):105-12. PubMed ID: 11874425 [TBL] [Abstract][Full Text] [Related]
26. An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification. Marin D; Gegundez-Arias ME; Ponte B; Alvarez F; Garrido J; Ortega C; Vasallo MJ; Bravo JM Med Biol Eng Comput; 2018 Aug; 56(8):1379-1390. PubMed ID: 29318442 [TBL] [Abstract][Full Text] [Related]
27. Automated detection of diabetic retinopathy: results of a screening study. Bouhaimed M; Gibbins R; Owens D Diabetes Technol Ther; 2008 Apr; 10(2):142-8. PubMed ID: 18260777 [TBL] [Abstract][Full Text] [Related]
28. Automated Diabetic Retinopathy Screening and Monitoring Using Retinal Fundus Image Analysis. Bhaskaranand M; Ramachandra C; Bhat S; Cuadros J; Nittala MG; Sadda S; Solanki K J Diabetes Sci Technol; 2016 Feb; 10(2):254-61. PubMed ID: 26888972 [TBL] [Abstract][Full Text] [Related]
29. Survey on recent developments in automatic detection of diabetic retinopathy. Bilal A; Sun G; Mazhar S J Fr Ophtalmol; 2021 Mar; 44(3):420-440. PubMed ID: 33526268 [TBL] [Abstract][Full Text] [Related]
30. Detection of exudates in retinal images using a pure splitting technique. Jaafar HF; Nandi AK; Al-Nuaimy W Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():6745-8. PubMed ID: 21095830 [TBL] [Abstract][Full Text] [Related]
31. Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool. Gardner GG; Keating D; Williamson TH; Elliott AT Br J Ophthalmol; 1996 Nov; 80(11):940-4. PubMed ID: 8976718 [TBL] [Abstract][Full Text] [Related]
32. Automated detection of exudates and macula for grading of diabetic macular edema. Akram MU; Tariq A; Khan SA; Javed MY Comput Methods Programs Biomed; 2014 Apr; 114(2):141-52. PubMed ID: 24548898 [TBL] [Abstract][Full Text] [Related]
33. A decision support system for automatic screening of non-proliferative diabetic retinopathy. Reza AW; Eswaran C J Med Syst; 2011 Feb; 35(1):17-24. PubMed ID: 20703589 [TBL] [Abstract][Full Text] [Related]
34. Detection and classification of retinal lesions for grading of diabetic retinopathy. Usman Akram M; Khalid S; Tariq A; Khan SA; Azam F Comput Biol Med; 2014 Feb; 45():161-71. PubMed ID: 24480176 [TBL] [Abstract][Full Text] [Related]
35. An Approach to Automatic Hard Exudate Detection in Retina Color Images by a Telemedicine System Based on the d-Eye Sensor and Image Processing Algorithms. Saeed E; Szymkowski M; Saeed K; Mariak Z Sensors (Basel); 2019 Feb; 19(3):. PubMed ID: 30744032 [TBL] [Abstract][Full Text] [Related]
36. Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System. van der Heijden AA; Abramoff MD; Verbraak F; van Hecke MV; Liem A; Nijpels G Acta Ophthalmol; 2018 Feb; 96(1):63-68. PubMed ID: 29178249 [TBL] [Abstract][Full Text] [Related]
37. [Grading of diabetic retinopathy from non-stereoscopic color fundus photographs--relationship to fluorescein angiography findings and three-year prognosis]. Kitano S Nippon Ganka Gakkai Zasshi; 2005 Sep; 109(9):563-72. PubMed ID: 16218434 [TBL] [Abstract][Full Text] [Related]
38. An extension of the Early Treatment Diabetic Retinopathy Study (ETDRS) system for grading of diabetic macular edema in the Astemizole Retinopathy Trial. Gardner TW; Sander B; Larsen ML; Kunselman A; Tenhave T; Lund-Andersen H; Reimers J; Hubbard L; Blankenship GW; Quillen DA; Brod RD; Wilmarth MH; Post-Hansen H; Parving HH; Davis MD Curr Eye Res; 2006 Jun; 31(6):535-47. PubMed ID: 16769613 [TBL] [Abstract][Full Text] [Related]
39. Image analysis of fundus photographs. The detection and measurement of exudates associated with diabetic retinopathy. Ward NP; Tomlinson S; Taylor CJ Ophthalmology; 1989 Jan; 96(1):80-6. PubMed ID: 2919052 [TBL] [Abstract][Full Text] [Related]
40. Assessment of automated disease detection in diabetic retinopathy screening using two-field photography. Goatman K; Charnley A; Webster L; Nussey S PLoS One; 2011; 6(12):e27524. PubMed ID: 22174741 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]