200 related articles for article (PubMed ID: 19150786)
1. Information fusion for diabetic retinopathy CAD in digital color fundus photographs.
Niemeijer M; Abramoff MD; van Ginneken B
IEEE Trans Med Imaging; 2009 May; 28(5):775-85. PubMed ID: 19150786
[TBL] [Abstract][Full Text] [Related]
2. Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach.
Welfer D; Scharcanski J; Kitamura CM; Dal Pizzol MM; Ludwig LW; Marinho DR
Comput Biol Med; 2010 Feb; 40(2):124-37. PubMed ID: 20045104
[TBL] [Abstract][Full Text] [Related]
3. Assessment of automated screening for treatment-requiring diabetic retinopathy.
Larsen M; Gondolf T; Godt J; Jensen MS; Hartvig NV; Lund-Andersen H; Larsen N
Curr Eye Res; 2007 Apr; 32(4):331-6. PubMed ID: 17453954
[TBL] [Abstract][Full Text] [Related]
4. Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs.
Niemeijer M; van Ginneken B; Cree MJ; Mizutani A; Quellec G; Sanchez CI; Zhang B; Hornero R; Lamard M; Muramatsu C; Wu X; Cazuguel G; You J; Mayo A; Li Q; Hatanaka Y; Cochener B; Roux C; Karray F; Garcia M; Fujita H; Abramoff MD
IEEE Trans Med Imaging; 2010 Jan; 29(1):185-95. PubMed ID: 19822469
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of automated fundus photograph analysis algorithms for detecting microaneurysms, haemorrhages and exudates, and of a computer-assisted diagnostic system for grading diabetic retinopathy.
Dupas B; Walter T; Erginay A; Ordonez R; Deb-Joardar N; Gain P; Klein JC; Massin P
Diabetes Metab; 2010 Jun; 36(3):213-20. PubMed ID: 20219404
[TBL] [Abstract][Full Text] [Related]
6. Automated localization of retinal features.
Sekhar S; Abd El-Samie FE; Yu P; Al-Nuaimy W; Nandi AK
Appl Opt; 2011 Jul; 50(19):3064-75. PubMed ID: 21743504
[TBL] [Abstract][Full Text] [Related]
7. Automatic detection of red lesions in digital color fundus photographs.
Niemeijer M; van Ginneken B; Staal J; Suttorp-Schulten MS; Abràmoff MD
IEEE Trans Med Imaging; 2005 May; 24(5):584-92. PubMed ID: 15889546
[TBL] [Abstract][Full Text] [Related]
8. [Automatic detection of microaneurysms in colour fundus images].
Jiménez S; Alemany P; Núñez Benjumea F; Serrano C; Acha B; Fondón I; Carral F; Sánchez C
Arch Soc Esp Oftalmol; 2011 Sep; 86(9):277-81. PubMed ID: 21893260
[TBL] [Abstract][Full Text] [Related]
9. A contribution of image processing to the diagnosis of diabetic retinopathy--detection of exudates in color fundus images of the human retina.
Walter T; Klein JC; Massin P; Erginay A
IEEE Trans Med Imaging; 2002 Oct; 21(10):1236-43. PubMed ID: 12585705
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data.
Sánchez CI; Niemeijer M; Dumitrescu AV; Suttorp-Schulten MS; Abràmoff MD; van Ginneken B
Invest Ophthalmol Vis Sci; 2011 Jul; 52(7):4866-71. PubMed ID: 21527381
[TBL] [Abstract][Full Text] [Related]
11. Detection of new vessels on the optic disc using retinal photographs.
Goatman KA; Fleming AD; Philip S; Williams GJ; Olson JA; Sharp PF
IEEE Trans Med Imaging; 2011 Apr; 30(4):972-9. PubMed ID: 21156389
[TBL] [Abstract][Full Text] [Related]
12. Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy.
Narasimha-Iyer H; Can A; Roysam B; Stewart CV; Tanenbaum HL; Majerovics A; Singh H
IEEE Trans Biomed Eng; 2006 Jun; 53(6):1084-98. PubMed ID: 16761836
[TBL] [Abstract][Full Text] [Related]
13. Determination of foveal avascular zone in diabetic retinopathy digital fundus images.
Ahmad Fadzil MH; Izhar LI; Nugroho HA
Comput Biol Med; 2010 Jul; 40(7):657-64. PubMed ID: 20573343
[TBL] [Abstract][Full Text] [Related]
14. Automatic detection of microaneurysms in color fundus images.
Walter T; Massin P; Erginay A; Ordonez R; Jeulin C; Klein JC
Med Image Anal; 2007 Dec; 11(6):555-66. PubMed ID: 17950655
[TBL] [Abstract][Full Text] [Related]
15. Comparison of a digital retinal imaging system and seven-field stereo color fundus photography to detect diabetic retinopathy in the primary care environment.
Schiffman RM; Jacobsen G; Nussbaum JJ; Desai UR; Carey JD; Glasser D; Zimmer-Galler IE; Zeimer R; Goldberg MF
Ophthalmic Surg Lasers Imaging; 2005; 36(1):46-56. PubMed ID: 15688971
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Interobserver agreement in the interpretation of single-field digital fundus images for diabetic retinopathy screening.
Ruamviboonsuk P; Teerasuwanajak K; Tiensuwan M; Yuttitham K;
Ophthalmology; 2006 May; 113(5):826-32. PubMed ID: 16650679
[TBL] [Abstract][Full Text] [Related]
18. Optimal filter framework for automated, instantaneous detection of lesions in retinal images.
Quellec G; Russell SR; Abramoff MD
IEEE Trans Med Imaging; 2011 Feb; 30(2):523-33. PubMed ID: 21292586
[TBL] [Abstract][Full Text] [Related]
19. Optic disc detection from normalized digital fundus images by means of a vessels' direction matched filter.
Youssif AR; Ghalwash AZ; Ghoneim AR
IEEE Trans Med Imaging; 2008 Jan; 27(1):11-8. PubMed ID: 18270057
[TBL] [Abstract][Full Text] [Related]
20. Points of interest and visual dictionaries for automatic retinal lesion detection.
Rocha A; Carvalho T; Jelinek HF; Goldenstein S; Wainer J
IEEE Trans Biomed Eng; 2012 Aug; 59(8):2244-53. PubMed ID: 22665502
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]