696 related articles for article (PubMed ID: 27701631)
21. 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]
22. Epiretinal Membrane Detection at the Ophthalmologist Level using Deep Learning of Optical Coherence Tomography.
Lo YC; Lin KH; Bair H; Sheu WH; Chang CS; Shen YC; Hung CL
Sci Rep; 2020 May; 10(1):8424. PubMed ID: 32439844
[TBL] [Abstract][Full Text] [Related]
23. Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network.
Liu YP; Li Z; Xu C; Li J; Liang R
Artif Intell Med; 2019 Aug; 99():101694. PubMed ID: 31606108
[TBL] [Abstract][Full Text] [Related]
24. Validation of a Deep Learning Algorithm for Diabetic Retinopathy.
Romero-Aroca P; Verges-Puig R; de la Torre J; Valls A; Relaño-Barambio N; Puig D; Baget-Bernaldiz M
Telemed J E Health; 2020 Aug; 26(8):1001-1009. PubMed ID: 31682189
[No Abstract] [Full Text] [Related]
25. Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
Heydon P; Egan C; Bolter L; Chambers R; Anderson J; Aldington S; Stratton IM; Scanlon PH; Webster L; Mann S; du Chemin A; Owen CG; Tufail A; Rudnicka AR
Br J Ophthalmol; 2021 May; 105(5):723-728. PubMed ID: 32606081
[TBL] [Abstract][Full Text] [Related]
26. Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya.
Hansen MB; Abràmoff MD; Folk JC; Mathenge W; Bastawrous A; Peto T
PLoS One; 2015; 10(10):e0139148. PubMed ID: 26425849
[TBL] [Abstract][Full Text] [Related]
27. Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence Software.
Wang XN; Dai L; Li ST; Kong HY; Sheng B; Wu Q
Curr Eye Res; 2020 Dec; 45(12):1550-1555. PubMed ID: 32410471
[No Abstract] [Full Text] [Related]
28. 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]
29. A convolutional neural network for the screening and staging of diabetic retinopathy.
Shaban M; Ogur Z; Mahmoud A; Switala A; Shalaby A; Abu Khalifeh H; Ghazal M; Fraiwan L; Giridharan G; Sandhu H; El-Baz AS
PLoS One; 2020; 15(6):e0233514. PubMed ID: 32569310
[TBL] [Abstract][Full Text] [Related]
30. Automated detection of diabetic retinopathy lesions on ultrawidefield pseudocolour images.
Wang K; Jayadev C; Nittala MG; Velaga SB; Ramachandra CA; Bhaskaranand M; Bhat S; Solanki K; Sadda SR
Acta Ophthalmol; 2018 Mar; 96(2):e168-e173. PubMed ID: 28926199
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.
Burlina P; Paul W; Mathew P; Joshi N; Pacheco KD; Bressler NM
JAMA Ophthalmol; 2020 Oct; 138(10):1070-1077. PubMed ID: 32880609
[TBL] [Abstract][Full Text] [Related]
33. Facilitating diabetic retinopathy screening using automated retinal image analysis in underresourced settings.
Quinn N; Brazionis L; Zhu B; Ryan C; D'Aloisio R; Lilian Tang H; Peto T; Jenkins A;
Diabet Med; 2021 Sep; 38(9):e14582. PubMed ID: 33825229
[TBL] [Abstract][Full Text] [Related]
34. Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis.
Wu JH; Liu TYA; Hsu WT; Ho JH; Lee CC
J Med Internet Res; 2021 Jul; 23(7):e23863. PubMed ID: 34407500
[TBL] [Abstract][Full Text] [Related]
35. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence.
Rajalakshmi R; Subashini R; Anjana RM; Mohan V
Eye (Lond); 2018 Jun; 32(6):1138-1144. PubMed ID: 29520050
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Deep learning-based detection and stage grading for optimising diagnosis of diabetic retinopathy.
Wang Y; Yu M; Hu B; Jin X; Li Y; Zhang X; Zhang Y; Gong D; Wu C; Zhang B; Yang J; Li B; Yuan M; Mo B; Wei Q; Zhao J; Ding D; Yang J; Li X; Yu W; Chen Y
Diabetes Metab Res Rev; 2021 May; 37(4):e3445. PubMed ID: 33713564
[TBL] [Abstract][Full Text] [Related]
38. Sensitivity and Specificity of Smartphone-Based Retinal Imaging for Diabetic Retinopathy: A Comparative Study.
Sengupta S; Sindal MD; Baskaran P; Pan U; Venkatesh R
Ophthalmol Retina; 2019 Feb; 3(2):146-153. PubMed ID: 31014763
[TBL] [Abstract][Full Text] [Related]
39. Testing a Deep Learning Algorithm for Detection of Diabetic Retinopathy in a Spanish Diabetic Population and with MESSIDOR Database.
Baget-Bernaldiz M; Pedro RA; Santos-Blanco E; Navarro-Gil R; Valls A; Moreno A; Rashwan HA; Puig D
Diagnostics (Basel); 2021 Jul; 11(8):. PubMed ID: 34441319
[TBL] [Abstract][Full Text] [Related]
40. Diabetic retinopathy detection using red lesion localization and convolutional neural networks.
Zago GT; Andreão RV; Dorizzi B; Teatini Salles EO
Comput Biol Med; 2020 Jan; 116():103537. PubMed ID: 31747632
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
