222 related articles for article (PubMed ID: 34211137)
1. Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs.
Li F; Wang Y; Xu T; Dong L; Yan L; Jiang M; Zhang X; Jiang H; Wu Z; Zou H
Eye (Lond); 2022 Jul; 36(7):1433-1441. PubMed ID: 34211137
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.
Virgili G; Menchini F; Casazza G; Hogg R; Das RR; Wang X; Michelessi M
Cochrane Database Syst Rev; 2015 Jan; 1(1):CD008081. PubMed ID: 25564068
[TBL] [Abstract][Full Text] [Related]
4. Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy.
Virgili G; Menchini F; Murro V; Peluso E; Rosa F; Casazza G
Cochrane Database Syst Rev; 2011 Jul; (7):CD008081. PubMed ID: 21735421
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
González-Gonzalo C; Sánchez-Gutiérrez V; Hernández-Martínez P; Contreras I; Lechanteur YT; Domanian A; van Ginneken B; Sánchez CI
Acta Ophthalmol; 2020 Jun; 98(4):368-377. PubMed ID: 31773912
[TBL] [Abstract][Full Text] [Related]
7. Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images.
Jacoba CMP; Doan D; Salongcay RP; Aquino LAC; Silva JPY; Salva CMG; Zhang D; Alog GP; Zhang K; Locaylocay KLRB; Saunar AV; Ashraf M; Sun JK; Peto T; Aiello LP; Silva PS
Ophthalmol Retina; 2023 Aug; 7(8):703-712. PubMed ID: 36924893
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. In-Person Verification of Deep Learning Algorithm for Diabetic Retinopathy Screening Using Different Techniques Across Fundus Image Devices.
Wongchaisuwat N; Trinavarat A; Rodanant N; Thoongsuwan S; Phasukkijwatana N; Prakhunhungsit S; Preechasuk L; Wongchaisuwat P
Transl Vis Sci Technol; 2021 Nov; 10(13):17. PubMed ID: 34767624
[TBL] [Abstract][Full Text] [Related]
11. Validation of diagnostic accuracy of retinal image grading by trained non-ophthalmologist grader for detecting diabetic retinopathy and diabetic macular edema.
Joseph S; Rajan RP; Sundar B; Venkatachalam S; Kempen JH; Kim R
Eye (Lond); 2023 Jun; 37(8):1577-1582. PubMed ID: 35906419
[TBL] [Abstract][Full Text] [Related]
12. Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning.
Burlina P; Paul W; Liu TYA; Bressler NM
JAMA Ophthalmol; 2022 Feb; 140(2):185-189. PubMed ID: 34967890
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm.
Li F; Liu Z; Chen H; Jiang M; Zhang X; Wu Z
Transl Vis Sci Technol; 2019 Nov; 8(6):4. PubMed ID: 31737428
[TBL] [Abstract][Full Text] [Related]
15. Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study.
Liu X; Ali TK; Singh P; Shah A; McKinney SM; Ruamviboonsuk P; Turner AW; Keane PA; Chotcomwongse P; Nganthavee V; Chia M; Huemer J; Cuadros J; Raman R; Corrado GS; Peng L; Webster DR; Hammel N; Varadarajan AV; Liu Y; Chopra R; Bavishi P
Ophthalmol Retina; 2022 May; 6(5):398-410. PubMed ID: 34999015
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysis.
Manikandan S; Raman R; Rajalakshmi R; Tamilselvi S; Surya RJ
Indian J Ophthalmol; 2023 May; 71(5):1783-1796. PubMed ID: 37203031
[TBL] [Abstract][Full Text] [Related]
17. Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.
Islam MM; Yang HC; Poly TN; Jian WS; Jack Li YC
Comput Methods Programs Biomed; 2020 Jul; 191():105320. PubMed ID: 32088490
[TBL] [Abstract][Full Text] [Related]
18. Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital.
Liu R; Li Q; Xu F; Wang S; He J; Cao Y; Shi F; Chen X; Chen J
Biomed Eng Online; 2022 Jul; 21(1):47. PubMed ID: 35859144
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.
Sahlsten J; Jaskari J; Kivinen J; Turunen L; Jaanio E; Hietala K; Kaski K
Sci Rep; 2019 Jul; 9(1):10750. PubMed ID: 31341220
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
