349 related articles for article (PubMed ID: 29295157)
1. Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy.
Raju M; Pagidimarri V; Barreto R; Kadam A; Kasivajjala V; Aswath A
Stud Health Technol Inform; 2017; 245():559-563. PubMed ID: 29295157
[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. 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]
5. 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]
6. 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]
7. 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]
8. Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image.
Xu K; Feng D; Mi H
Molecules; 2017 Nov; 22(12):. PubMed ID: 29168750
[TBL] [Abstract][Full Text] [Related]
9. An Intelligent Model for Blood Vessel Segmentation in Diagnosing DR Using CNN.
Sangeethaa SN; Uma Maheswari P
J Med Syst; 2018 Aug; 42(10):175. PubMed ID: 30109508
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. An automated retinal imaging method for the early diagnosis of diabetic retinopathy.
Franklin SW; Rajan SE
Technol Health Care; 2013; 21(6):557-69. PubMed ID: 24284549
[TBL] [Abstract][Full Text] [Related]
12. A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.
S K S; P A
J Med Syst; 2017 Nov; 41(12):201. PubMed ID: 29124453
[TBL] [Abstract][Full Text] [Related]
13. Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.
Gardner GG; Keating D; Williamson TH; Elliott AT
Br J Ophthalmol; 1996 Nov; 80(11):940-4. PubMed ID: 8976718
[TBL] [Abstract][Full Text] [Related]
14. Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading.
Zhou K; Gu Z; Liu W; Luo W; Cheng J; Gao S; Liu J
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2724-2727. PubMed ID: 30440966
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Diabetic Retinopathy Diagnosis from Retinal Images Using Modified Hopfield Neural Network.
Hemanth DJ; Anitha J; Son LH; Mittal M
J Med Syst; 2018 Oct; 42(12):247. PubMed ID: 30382410
[TBL] [Abstract][Full Text] [Related]
18. A novel four-step feature selection technique for diabetic retinopathy grading.
Jagan Mohan N; Murugan R; Goel T; Mirjalili S; Roy P
Phys Eng Sci Med; 2021 Dec; 44(4):1351-1366. PubMed ID: 34748191
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]