160 related articles for article (PubMed ID: 37246918)
1. Cross-camera Performance of Deep Learning Algorithms to Diagnose Common Ophthalmic Diseases: A Comparative Study Highlighting Feasibility to Portable Fundus Camera Use.
He S; Bulloch G; Zhang L; Xie Y; Wu W; He Y; Meng W; Shi D; He M
Curr Eye Res; 2023 Sep; 48(9):857-863. PubMed ID: 37246918
[TBL] [Abstract][Full Text] [Related]
2. Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.
Li Z; He Y; Keel S; Meng W; Chang RT; He M
Ophthalmology; 2018 Aug; 125(8):1199-1206. PubMed ID: 29506863
[TBL] [Abstract][Full Text] [Related]
3. Bridging the Camera Domain Gap With Image-to-Image Translation Improves Glaucoma Diagnosis.
He S; Joseph S; Bulloch G; Jiang F; Kasturibai H; Kim R; Ravilla TD; Wang Y; Shi D; He M
Transl Vis Sci Technol; 2023 Dec; 12(12):20. PubMed ID: 38133514
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.
Phene S; Dunn RC; Hammel N; Liu Y; Krause J; Kitade N; Schaekermann M; Sayres R; Wu DJ; Bora A; Semturs C; Misra A; Huang AE; Spitze A; Medeiros FA; Maa AY; Gandhi M; Corrado GS; Peng L; Webster DR
Ophthalmology; 2019 Dec; 126(12):1627-1639. PubMed ID: 31561879
[TBL] [Abstract][Full Text] [Related]
5. Validation of an autonomous artificial intelligence-based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context.
Font O; Torrents-Barrena J; Royo D; García SB; Zarranz-Ventura J; Bures A; Salinas C; Zapata MÁ
Graefes Arch Clin Exp Ophthalmol; 2022 Oct; 260(10):3255-3265. PubMed ID: 35567610
[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. 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]
8. Glaucoma Screening in Nepal: Cup-to-Disc Estimate With Standard Mydriatic Fundus Camera Compared to Portable Nonmydriatic Camera.
Miller SE; Thapa S; Robin AL; Niziol LM; Ramulu PY; Woodward MA; Paudyal I; Pitha I; Kim TN; Newman-Casey PA
Am J Ophthalmol; 2017 Oct; 182():99-106. PubMed ID: 28734816
[TBL] [Abstract][Full Text] [Related]
9. Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs.
Li F; Yan L; Wang Y; Shi J; Chen H; Zhang X; Jiang M; Wu Z; Zhou K
Graefes Arch Clin Exp Ophthalmol; 2020 Apr; 258(4):851-867. PubMed ID: 31989285
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.
Liu H; Li L; Wormstone IM; Qiao C; Zhang C; Liu P; Li S; Wang H; Mou D; Pang R; Yang D; Zangwill LM; Moghimi S; Hou H; Bowd C; Jiang L; Chen Y; Hu M; Xu Y; Kang H; Ji X; Chang R; Tham C; Cheung C; Ting DSW; Wong TY; Wang Z; Weinreb RN; Xu M; Wang N
JAMA Ophthalmol; 2019 Dec; 137(12):1353-1360. PubMed ID: 31513266
[TBL] [Abstract][Full Text] [Related]
11. Using deep leaning models to detect ophthalmic diseases: A comparative study.
Li Z; Guo X; Zhang J; Liu X; Chang R; He M
Front Med (Lausanne); 2023; 10():1115032. PubMed ID: 36936225
[TBL] [Abstract][Full Text] [Related]
12. Head to head comparison of diagnostic performance of three non-mydriatic cameras for diabetic retinopathy screening with artificial intelligence.
Doğan ME; Bilgin AB; Sari R; Bulut M; Akar Y; Aydemir M
Eye (Lond); 2024 Jun; 38(9):1694-1701. PubMed ID: 38467864
[TBL] [Abstract][Full Text] [Related]
13. Fred Hollows lecture: digital screening for eye disease.
Constable IJ; Yogesan K; Eikelboom R; Barry C; Cuypers M
Clin Exp Ophthalmol; 2000 Jun; 28(3):129-32. PubMed ID: 10981779
[TBL] [Abstract][Full Text] [Related]
14. An objective structural and functional reference standard in glaucoma.
Mariottoni EB; Jammal AA; Berchuck SI; Shigueoka LS; Tavares IM; Medeiros FA
Sci Rep; 2021 Jan; 11(1):1752. PubMed ID: 33462288
[TBL] [Abstract][Full Text] [Related]
15. Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems.
Yang HK; Kim YJ; Sung JY; Kim DH; Kim KG; Hwang JM
Am J Ophthalmol; 2020 Aug; 216():140-146. PubMed ID: 32247778
[TBL] [Abstract][Full Text] [Related]
16. Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks.
Cen LP; Ji J; Lin JW; Ju ST; Lin HJ; Li TP; Wang Y; Yang JF; Liu YF; Tan S; Tan L; Li D; Wang Y; Zheng D; Xiong Y; Wu H; Jiang J; Wu Z; Huang D; Shi T; Chen B; Yang J; Zhang X; Luo L; Huang C; Zhang G; Huang Y; Ng TK; Chen H; Chen W; Pang CP; Zhang M
Nat Commun; 2021 Aug; 12(1):4828. PubMed ID: 34376678
[TBL] [Abstract][Full Text] [Related]
17. Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma.
Keel S; Wu J; Lee PY; Scheetz J; He M
JAMA Ophthalmol; 2019 Mar; 137(3):288-292. PubMed ID: 30570648
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.
Jammal AA; Thompson AC; Mariottoni EB; Berchuck SI; Urata CN; Estrela T; Wakil SM; Costa VP; Medeiros FA
Am J Ophthalmol; 2020 Mar; 211():123-131. PubMed ID: 31730838
[TBL] [Abstract][Full Text] [Related]
20. Validation of handheld fundus camera with mydriasis for retinal imaging of diabetic retinopathy screening in China: a prospective comparison study.
Xiao B; Liao Q; Li Y; Weng F; Jin L; Wang Y; Huang W; Yi J; Burton MJ; Yip JL
BMJ Open; 2020 Oct; 10(10):e040196. PubMed ID: 33122324
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]