3668 related articles for article (PubMed ID: 27898976)
1. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Gulshan V; Peng L; Coram M; Stumpe MC; Wu D; Narayanaswamy A; Venugopalan S; Widner K; Madams T; Cuadros J; Kim R; Raman R; Nelson PC; Mega JL; Webster DR
JAMA; 2016 Dec; 316(22):2402-2410. PubMed ID: 27898976
[TBL] [Abstract][Full Text] [Related]
2. Automated analysis of retinal images for detection of referable diabetic retinopathy.
Abràmoff MD; Folk JC; Han DP; Walker JD; Williams DF; Russell SR; Massin P; Cochener B; Gain P; Tang L; Lamard M; Moga DC; Quellec G; Niemeijer M
JAMA Ophthalmol; 2013 Mar; 131(3):351-7. PubMed ID: 23494039
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.
Ting DSW; Cheung CY; Lim G; Tan GSW; Quang ND; Gan A; Hamzah H; Garcia-Franco R; San Yeo IY; Lee SY; Wong EYM; Sabanayagam C; Baskaran M; Ibrahim F; Tan NC; Finkelstein EA; Lamoureux EL; Wong IY; Bressler NM; Sivaprasad S; Varma R; Jonas JB; He MG; Cheng CY; Cheung GCM; Aung T; Hsu W; Lee ML; Wong TY
JAMA; 2017 Dec; 318(22):2211-2223. PubMed ID: 29234807
[TBL] [Abstract][Full Text] [Related]
4. Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.
Voets M; Møllersen K; Bongo LA
PLoS One; 2019; 14(6):e0217541. PubMed ID: 31170223
[TBL] [Abstract][Full Text] [Related]
5. Automated Identification of Diabetic Retinopathy Using Deep Learning.
Gargeya R; Leng T
Ophthalmology; 2017 Jul; 124(7):962-969. PubMed ID: 28359545
[TBL] [Abstract][Full Text] [Related]
6. An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs.
Li Z; Keel S; Liu C; He Y; Meng W; Scheetz J; Lee PY; Shaw J; Ting D; Wong TY; Taylor H; Chang R; He M
Diabetes Care; 2018 Dec; 41(12):2509-2516. PubMed ID: 30275284
[TBL] [Abstract][Full Text] [Related]
7. Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.
Abràmoff MD; Lou Y; Erginay A; Clarida W; Amelon R; Folk JC; Niemeijer M
Invest Ophthalmol Vis Sci; 2016 Oct; 57(13):5200-5206. PubMed ID: 27701631
[TBL] [Abstract][Full Text] [Related]
8. Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening.
Shah P; Mishra DK; Shanmugam MP; Doshi B; Jayaraj H; Ramanjulu R
Indian J Ophthalmol; 2020 Feb; 68(2):398-405. PubMed ID: 31957737
[TBL] [Abstract][Full Text] [Related]
9. Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.
Li Z; He Y; Keel S; Meng W; Chang RT; He M
Ophthalmology; 2018 Aug; 125(8):1199-1206. PubMed ID: 29506863
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.
Bellemo V; Lim ZW; Lim G; Nguyen QD; Xie Y; Yip MYT; Hamzah H; Ho J; Lee XQ; Hsu W; Lee ML; Musonda L; Chandran M; Chipalo-Mutati G; Muma M; Tan GSW; Sivaprasad S; Menon G; Wong TY; Ting DSW
Lancet Digit Health; 2019 May; 1(1):e35-e44. PubMed ID: 33323239
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.
Keel S; Li Z; Scheetz J; Robman L; Phung J; Makeyeva G; Aung K; Liu C; Yan X; Meng W; Guymer R; Chang R; He M
Clin Exp Ophthalmol; 2019 Nov; 47(8):1009-1018. PubMed ID: 31215760
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.
Son J; Shin JY; Kim HD; Jung KH; Park KH; Park SJ
Ophthalmology; 2020 Jan; 127(1):85-94. PubMed ID: 31281057
[TBL] [Abstract][Full Text] [Related]
13. Diabetic retinopathy screening using deep neural network.
Ramachandran N; Hong SC; Sime MJ; Wilson GA
Clin Exp Ophthalmol; 2018 May; 46(4):412-416. PubMed ID: 28881490
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.
Arcadu F; Benmansour F; Maunz A; Michon J; Haskova Z; McClintock D; Adamis AP; Willis JR; Prunotto M
Invest Ophthalmol Vis Sci; 2019 Mar; 60(4):852-857. PubMed ID: 30821810
[TBL] [Abstract][Full Text] [Related]
15. Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.
Cai S; Parker F; Urias MG; Goldberg MF; Hager GD; Scott AW
JAMA Ophthalmol; 2021 Feb; 139(2):206-213. PubMed ID: 33377944
[TBL] [Abstract][Full Text] [Related]
16. Detection of Diabetic Retinopathy from Ultra-Widefield Scanning Laser Ophthalmoscope Images: A Multicenter Deep Learning Analysis.
Tang F; Luenam P; Ran AR; Quadeer AA; Raman R; Sen P; Khan R; Giridhar A; Haridas S; Iglicki M; Zur D; Loewenstein A; Negri HP; Szeto S; Lam BKY; Tham CC; Sivaprasad S; Mckay M; Cheung CY
Ophthalmol Retina; 2021 Nov; 5(11):1097-1106. PubMed ID: 33540169
[TBL] [Abstract][Full Text] [Related]
17. Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening.
Hsieh YT; Chuang LM; Jiang YD; Chang TJ; Yang CM; Yang CH; Chan LW; Kao TY; Chen TC; Lin HC; Tsai CH; Chen M
J Formos Med Assoc; 2021 Jan; 120(1 Pt 1):165-171. PubMed ID: 32307321
[TBL] [Abstract][Full Text] [Related]
18. OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.
Prahs P; Radeck V; Mayer C; Cvetkov Y; Cvetkova N; Helbig H; Märker D
Graefes Arch Clin Exp Ophthalmol; 2018 Jan; 256(1):91-98. PubMed ID: 29127485
[TBL] [Abstract][Full Text] [Related]
19. Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks.
Burlina PM; Joshi N; Pekala M; Pacheco KD; Freund DE; Bressler NM
JAMA Ophthalmol; 2017 Nov; 135(11):1170-1176. PubMed ID: 28973096
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
