164 related articles for article (PubMed ID: 34345030)
1. Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning.
Li Z; Guo C; Nie D; Lin D; Cui T; Zhu Y; Chen C; Zhao L; Zhang X; Dongye M; Wang D; Xu F; Jin C; Zhang P; Han Y; Yan P; Lin H
Eye (Lond); 2022 Aug; 36(8):1681-1686. PubMed ID: 34345030
[TBL] [Abstract][Full Text] [Related]
2. Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images.
Li Z; Guo C; Nie D; Lin D; Zhu Y; Chen C; Xiang Y; Xu F; Jin C; Zhang X; Yang Y; Zhang K; Zhao L; Zhang P; Han Y; Yun D; Wu X; Yan P; Lin H
Transl Vis Sci Technol; 2020 Jan; 9(2):3. PubMed ID: 32518708
[TBL] [Abstract][Full Text] [Related]
3. Deep Learning Performance of Ultra-Widefield Fundus Imaging for Screening Retinal Lesions in Rural Locales.
Cui T; Lin D; Yu S; Zhao X; Lin Z; Zhao L; Xu F; Yun D; Pang J; Li R; Xie L; Zhu P; Huang Y; Huang H; Hu C; Huang W; Liang X; Lin H
JAMA Ophthalmol; 2023 Nov; 141(11):1045-1051. PubMed ID: 37856107
[TBL] [Abstract][Full Text] [Related]
4. Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images.
Li Z; Guo C; Lin D; Nie D; Zhu Y; Chen C; Zhao L; Wang J; Zhang X; Dongye M; Wang D; Xu F; Jin C; Zhang P; Han Y; Yan P; Han Y; Lin H
Br J Ophthalmol; 2021 Nov; 105(11):1548-1554. PubMed ID: 32938630
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning Detection of Early Retinal Peripheral Degeneration From Ultra-Widefield Fundus Photographs of Asymptomatic Young Adult (17-19 Years) Candidates to Airforce Cadets.
Wu T; Ju L; Fu X; Wang B; Ge Z; Liu Y
Transl Vis Sci Technol; 2024 Feb; 13(2):1. PubMed ID: 38300623
[TBL] [Abstract][Full Text] [Related]
6. Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis.
Niemeijer M; van Ginneken B; Russell SR; Suttorp-Schulten MS; Abràmoff MD
Invest Ophthalmol Vis Sci; 2007 May; 48(5):2260-7. PubMed ID: 17460289
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.
Cai S; Parker F; Urias MG; Goldberg MF; Hager GD; Scott AW
JAMA Ophthalmol; 2021 Feb; 139(2):206-213. PubMed ID: 33377944
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography.
Christ M; Habra O; Monnin K; Vallotton K; Sznitman R; Wolf S; Zinkernagel M; Márquez Neila P
Transl Vis Sci Technol; 2024 Apr; 13(4):1. PubMed ID: 38564203
[TBL] [Abstract][Full Text] [Related]
10. Detection of Diabetic Retinopathy from Ultra-Widefield Scanning Laser Ophthalmoscope Images: A Multicenter Deep Learning Analysis.
Tang F; Luenam P; Ran AR; Quadeer AA; Raman R; Sen P; Khan R; Giridhar A; Haridas S; Iglicki M; Zur D; Loewenstein A; Negri HP; Szeto S; Lam BKY; Tham CC; Sivaprasad S; Mckay M; Cheung CY
Ophthalmol Retina; 2021 Nov; 5(11):1097-1106. PubMed ID: 33540169
[TBL] [Abstract][Full Text] [Related]
11. Intelligent Diagnosis of Multiple Peripheral Retinal Lesions in Ultra-widefield Fundus Images Based on Deep Learning.
Wang T; Liao G; Chen L; Zhuang Y; Zhou S; Yuan Q; Han L; Wu S; Chen K; Wang B; Mi J; Gao Y; Lin J; Zhang M
Ophthalmol Ther; 2023 Apr; 12(2):1081-1095. PubMed ID: 36692813
[TBL] [Abstract][Full Text] [Related]
12. Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs.
Abitbol E; Miere A; Excoffier JB; Mehanna CJ; Amoroso F; Kerr S; Ortala M; Souied EH
BMJ Open Ophthalmol; 2022; 7(1):e000924. PubMed ID: 35141420
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning-based Prediction of Axial Length Using Ultra-widefield Fundus Photography.
Oh R; Lee EK; Bae K; Park UC; Yu HG; Yoon CK
Korean J Ophthalmol; 2023 Apr; 37(2):95-104. PubMed ID: 36758539
[TBL] [Abstract][Full Text] [Related]
14. A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images.
Li Z; Guo C; Nie D; Lin D; Zhu Y; Chen C; Zhang L; Xu F; Jin C; Zhang X; Xiao H; Zhang K; Zhao L; Yu S; Zhang G; Wang J; Lin H
Ann Transl Med; 2019 Nov; 7(22):618. PubMed ID: 31930019
[TBL] [Abstract][Full Text] [Related]
15. Deep-Learning-Based Hemoglobin Concentration Prediction and Anemia Screening Using Ultra-Wide Field Fundus Images.
Zhao X; Meng L; Su H; Lv B; Lv C; Xie G; Chen Y
Front Cell Dev Biol; 2022; 10():888268. PubMed ID: 35663399
[No Abstract] [Full Text] [Related]
16. DETECTION AND LOCALIZATION OF RETINAL BREAKS IN ULTRAWIDEFIELD FUNDUS PHOTOGRAPHY USING a YOLO v3 ARCHITECTURE-BASED DEEP LEARNING MODEL.
Oh R; Oh BL; Lee EK; Park UC; Yu HG; Yoon CK
Retina; 2022 Oct; 42(10):1889-1896. PubMed ID: 36129265
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images.
Antaki F; Coussa RG; Kahwati G; Hammamji K; Sebag M; Duval R
Br J Ophthalmol; 2023 Jan; 107(1):90-95. PubMed ID: 34344669
[TBL] [Abstract][Full Text] [Related]
18. DeepUWF: An Automated Ultra-Wide-Field Fundus Screening System via Deep Learning.
Zhang W; Zhao X; Chen Y; Zhong J; Yi Z
IEEE J Biomed Health Inform; 2021 Aug; 25(8):2988-2996. PubMed ID: 33361011
[TBL] [Abstract][Full Text] [Related]
19. Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.
Yoo TK; Ryu IH; Kim JK; Lee IS; Kim JS; Kim HK; Choi JY
Comput Methods Programs Biomed; 2020 Dec; 197():105761. PubMed ID: 32961385
[TBL] [Abstract][Full Text] [Related]
20. Deep learning system for screening AIDS-related cytomegalovirus retinitis with ultra-wide-field fundus images.
Du K; Dong L; Zhang K; Guan M; Chen C; Xie L; Kong W; Li H; Zhang R; Zhou W; Wu H; Dong H; Wei W
Heliyon; 2024 May; 10(10):e30881. PubMed ID: 38803983
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
