146 related articles for article (PubMed ID: 29677990)
1. SCREEN-DR - Software Architecture for the Diabetic Retinopathy Screening.
Pedrosa M; Silva JM; Matos S; Costa C
Stud Health Technol Inform; 2018; 247():396-400. PubMed ID: 29677990
[TBL] [Abstract][Full Text] [Related]
2. SCREEN-DR: Collaborative platform for diabetic retinopathy.
Pedrosa M; Silva JM; Silva JF; Matos S; Costa C
Int J Med Inform; 2018 Dec; 120():137-146. PubMed ID: 30409338
[TBL] [Abstract][Full Text] [Related]
3. A Survey on Intelligent Screening for Diabetic Retinopathy.
Dai YL; Zhu CZ; Shan X; Cheng ZZ; Zou BJ
Chin Med Sci J; 2019 Jun; 34(2):120-132. PubMed ID: 31315753
[TBL] [Abstract][Full Text] [Related]
4. Progress of artificial intelligence in diabetic retinopathy screening.
Wang YL; Yang JY; Yang JY; Zhao XY; Chen YX; Yu WH
Diabetes Metab Res Rev; 2021 Jul; 37(5):e3414. PubMed ID: 33010796
[TBL] [Abstract][Full Text] [Related]
5. Artificial Intelligence in the assessment of diabetic retinopathy from fundus photographs.
Gilbert MJ; Sun JK
Semin Ophthalmol; 2020 Nov; 35(7-8):325-332. PubMed ID: 33539253
[No Abstract] [Full Text] [Related]
6. Automated assessment of diabetic retinopathy severity using content-based image retrieval in multimodal fundus photographs.
Quellec G; Lamard M; Cazuguel G; Bekri L; Daccache W; Roux C; Cochener B
Invest Ophthalmol Vis Sci; 2011 Oct; 52(11):8342-8. PubMed ID: 21896872
[TBL] [Abstract][Full Text] [Related]
7. Algorithms for red lesion detection in Diabetic Retinopathy: A review.
Biyani RS; Patre BM
Biomed Pharmacother; 2018 Nov; 107():681-688. PubMed ID: 30130729
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Artificial intelligence in diabetic retinopathy: A natural step to the future.
Padhy SK; Takkar B; Chawla R; Kumar A
Indian J Ophthalmol; 2019 Jul; 67(7):1004-1009. PubMed ID: 31238395
[TBL] [Abstract][Full Text] [Related]
10. Assessment of Computer-Assisted Screening Technology for Diabetic Retinopathy Screening in India - Preliminary Results and Recommendations from a Pilot Study.
John S; Ram K; Sivaprakasam M; Raman R
Stud Health Technol Inform; 2016; 231():74-81. PubMed ID: 27782018
[TBL] [Abstract][Full Text] [Related]
11. Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images.
Köse C; Sevik U; Ikibaş C; Erdöl H
Comput Methods Programs Biomed; 2012 Aug; 107(2):274-93. PubMed ID: 21757250
[TBL] [Abstract][Full Text] [Related]
12. Automated Diabetic Retinopathy Screening and Monitoring Using Retinal Fundus Image Analysis.
Bhaskaranand M; Ramachandra C; Bhat S; Cuadros J; Nittala MG; Sadda S; Solanki K
J Diabetes Sci Technol; 2016 Feb; 10(2):254-61. PubMed ID: 26888972
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence for diabetic retinopathy screening: a review.
Grzybowski A; Brona P; Lim G; Ruamviboonsuk P; Tan GSW; Abramoff M; Ting DSW
Eye (Lond); 2020 Mar; 34(3):451-460. PubMed ID: 31488886
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. IDx-DR for Diabetic Retinopathy Screening.
Savoy M
Am Fam Physician; 2020 Mar; 101(5):307-308. PubMed ID: 32109029
[No Abstract] [Full Text] [Related]
16. Artificial intelligence for diabetic retinopathy.
Li S; Zhao R; Zou H
Chin Med J (Engl); 2021 Dec; 135(3):253-260. PubMed ID: 34995039
[TBL] [Abstract][Full Text] [Related]
17. Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy.
Wang R; Zuo G; Li K; Li W; Xuan Z; Han Y; Yang W
Front Endocrinol (Lausanne); 2022; 13():1036426. PubMed ID: 36387891
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. ARTEFICIAL INTELLIGENCE IN DIABETIC RETINOPATHY SCREENING. A REVIEW.
Straňák Z; Penčák M; Veith M
Cesk Slov Oftalmol; 2021; 77(5):224-231. PubMed ID: 34666491
[TBL] [Abstract][Full Text] [Related]
20. Automated detection of diabetic retinopathy in retinal images.
Valverde C; Garcia M; Hornero R; Lopez-Galvez MI
Indian J Ophthalmol; 2016 Jan; 64(1):26-32. PubMed ID: 26953020
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]