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.
1510 related articles for article (PubMed ID: 28359545)
1. 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]
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. 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]
4. 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]
5. 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]
6. Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy. Krause J; Gulshan V; Rahimy E; Karth P; Widner K; Corrado GS; Peng L; Webster DR Ophthalmology; 2018 Aug; 125(8):1264-1272. PubMed ID: 29548646 [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. 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]
9. Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance. Nielsen KB; Lautrup ML; Andersen JKH; Savarimuthu TR; Grauslund J Ophthalmol Retina; 2019 Apr; 3(4):294-304. PubMed ID: 31014679 [TBL] [Abstract][Full Text] [Related]
10. Automated detection of fundus photographic red lesions in diabetic retinopathy. Larsen M; Godt J; Larsen N; Lund-Andersen H; Sjølie AK; Agardh E; Kalm H; Grunkin M; Owens DR Invest Ophthalmol Vis Sci; 2003 Feb; 44(2):761-6. PubMed ID: 12556411 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy. Sayres R; Taly A; Rahimy E; Blumer K; Coz D; Hammel N; Krause J; Narayanaswamy A; Rastegar Z; Wu D; Xu S; Barb S; Joseph A; Shumski M; Smith J; Sood AB; Corrado GS; Peng L; Webster DR Ophthalmology; 2019 Apr; 126(4):552-564. PubMed ID: 30553900 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. Hua CH; Huynh-The T; Kim K; Yu SY; Le-Tien T; Park GH; Bang J; Khan WA; Bae SH; Lee S Int J Med Inform; 2019 Dec; 132():103926. PubMed ID: 31605882 [TBL] [Abstract][Full Text] [Related]
15. Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images. Ludwig CA; Perera C; Myung D; Greven MA; Smith SJ; Chang RT; Leng T Transl Vis Sci Technol; 2020 Dec; 9(2):60. PubMed ID: 33294301 [TBL] [Abstract][Full Text] [Related]
16. Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy. Tseng VS; Chen CL; Liang CM; Tai MC; Liu JT; Wu PY; Deng MS; Lee YW; Huang TY; Chen YH Transl Vis Sci Technol; 2020 Jul; 9(2):41. PubMed ID: 32855845 [TBL] [Abstract][Full Text] [Related]
17. Automated early detection of diabetic retinopathy. Abràmoff MD; Reinhardt JM; Russell SR; Folk JC; Mahajan VB; Niemeijer M; Quellec G Ophthalmology; 2010 Jun; 117(6):1147-54. PubMed ID: 20399502 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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] [Next] [New Search]