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investigative ophthalmology visual science 623 british journal of ophthalmology 619 graefes archive for clinical and experimental ophthalmology albrecht von graefes archiv fur klinische und experimentelle ophthalmologie 604 american journal of ophthalmology 600 indian journal of ophthalmology 535 plos one 162 More options ...
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks.
Authors: 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
Published: 2021
Resource Type: Academic Journal
Source: Nature communications [Nat Commun] 2021 Aug 10; Vol. 12 (1), pp. 4828. Date of Electronic Publication: 2021 Aug 10.


Spontaneous fundus lesions in elderly monkeys: An ideal model for age-related macular degeneration and high myopia clinical research.
Authors: Zeng B; Zhang H; Peng Y; Yu H; Li W; Li Z; Xie Y; Qiu S; Wu P; Zhang W; Liu Y; Chen Y; Liu X; Huang B
Published: 2021
Resource Type: Academic Journal
Source: Life sciences [Life Sci] 2021 Oct 01; Vol. 282, pp. 119811. Date of Electronic Publication: 2021 Jul 10.


A deep learning system for detecting diabetic retinopathy across the disease spectrum.
Authors: Dai L; Wu L; Li H; Cai C; Wu Q; Kong H; Liu R; Wang X; Hou X; Liu Y; Long X; Wen Y; Lu L; Shen Y; Chen Y; Shen D; Yang X; Zou H; Sheng B; Jia W
Published: 2021
Resource Type: Academic Journal
Source: Nature communications [Nat Commun] 2021 May 28; Vol. 12 (1), pp. 3242. Date of Electronic Publication: 2021 May 28.


Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology.
Authors: Xiang Y; Shujin L; Hongfang C; Yinping W; Dawei Y; Zhou D; Zhiqing L
Published: 2021
Resource Type: Academic Journal
Source: BioMed research international [Biomed Res Int] 2021 Apr 20; Vol. 2021, pp. 5556057. Date of Electronic Publication: 2021 Apr 20 (Print Publication: 2021).


Diagnostic Accuracy of Detecting Diabetic Retinopathy by Using Digital Fundus Photographs in the Peripheral Health Facilities of Bangladesh: Validation Study.
Authors: Begum T; Rahman A; Nomani D; Mamun A; Adams A; Islam S; Khair Z; Khair Z; Anwar I
Published: 2021
Resource Type: Academic Journal
Source: JMIR public health and surveillance [JMIR Public Health Surveill] 2021 Mar 09; Vol. 7 (3), pp. e23538. Date of Electronic Publication: 2021 Mar 09.


Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity.
Authors: Coyner AS; Chen J; Campbell JP; Ostmo S; Singh P; Kalpathy-Cramer J; Chiang MF
Published: 2021
Resource Type: Academic Journal
Source: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2021 Jan 25; Vol. 2020, pp. 329-337. Date of Electronic Publication: 2021 Jan 25 (Print Publication: 2020).


Retinal imaging study diagnoses in COVID-19: a case report.
Authors: Ortiz-Egea JM; Ruiz-Medrano J; Ruiz-Moreno JM
Published: 2021
Resource Type: Academic Journal
Source: Journal of medical case reports [J Med Case Rep] 2021 Jan 15; Vol. 15 (1), pp. 15. Date of Electronic Publication: 2021 Jan 15.


Effective Fundus Image Decomposition for the Detection of Red Lesions and Hard Exudates to Aid in the Diagnosis of Diabetic Retinopathy.
Authors: Romero-Oraá R; García M; Oraá-Pérez J; López-Gálvez MI; Hornero R
Published: 2020
Resource Type: Academic Journal
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Nov 16; Vol. 20 (22). Date of Electronic Publication: 2020 Nov 16.


Anti-recoverin antibodies indicate fundus abnormalities in systemic lupus erythematosus.
Authors: Li M; Cheng G; Wang Z; Liu W; Jin Y; Huang B; Wang Y; Qu J; Shi G; Su Y; He J; Li Z
Published: 2020
Resource Type: Academic Journal
Source: Lupus [Lupus] 2020 Oct; Vol. 29 (11), pp. 1346-1352. Date of Electronic Publication: 2020 Jul 23.


Measuring ocular torsion and its variations using different nonmydriatic fundus photographic methods.
Authors: Kang H; Lee SJ; Shin HJ; Lee AG
Published: 2020
Resource Type: Academic Journal
Source: PloS one [PLoS One] 2020 Dec 22; Vol. 15 (12), pp. e0244230. Date of Electronic Publication: 2020 Dec 22 (Print Publication: 2020).


A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs.
Authors: Tavakkoli A; Kamran SA; Hossain KF; Zuckerbrod SL
Published: 2020
Resource Type: Academic Journal
Source: Scientific reports [Sci Rep] 2020 Dec 09; Vol. 10 (1), pp. 21580. Date of Electronic Publication: 2020 Dec 09.


How to Extract More Information With Less Burden: Fundus Image Classification and Retinal Disease Localization With Ophthalmologist Intervention.
Authors: Meng Q; Hashimoto Y; Satoh S
Published: 2020
Resource Type: Academic Journal
Source: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2020 Dec; Vol. 24 (12), pp. 3351-3361. Date of Electronic Publication: 2020 Dec 04.


Red-lesion extraction in retinal fundus images by directional intensity changes' analysis.
Authors: Monemian, Maryam; Rabbani, Hossein
Published: 2021
Resource Type: Academic Journal
Source: Scientific Reports. 9/14/2021, Vol. 11 Issue 1, p1-14. 14p.


The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading.
Authors: Lin L; Li M; Huang Y; Cheng P; Xia H; Wang K; Yuan J; Tang X
Published: 2020
Resource Type: Academic Journal
Source: Scientific data [Sci Data] 2020 Nov 20; Vol. 7 (1), pp. 409. Date of Electronic Publication: 2020 Nov 20.


Optic Disc Melanocytoma; A Rare Entity.
Authors: Mughal J; Javed A; Arshad O; Nasir J; Chatni MH; Usman M
Published: 2020
Resource Type: Academic Journal
Source: Journal of Ayub Medical College, Abbottabad : JAMC [J Ayub Med Coll Abbottabad] 2020 Oct-Dec; Vol. 32 (4), pp. 580-582.


Development of a deep-learning system for detection of lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes using ultra-wide-field fundus images: a pilot study.
Authors: Zhang C; He F; Li B; Wang H; He X; Li X; Yu W; Chen Y
Published: 2021
Resource Type: Academic Journal
Source: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie [Graefes Arch Clin Exp Ophthalmol] 2021 Aug; Vol. 259 (8), pp. 2225-2234. Date of Electronic Publication: 2021 Feb 04.


Normalization of series of fundus images to monitor the geographic atrophy growth in dry age-related macular degeneration.
Authors: Rossant F; Paques M
Published: 2021
Resource Type: Academic Journal
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2021 Sep; Vol. 208, pp. 106234. Date of Electronic Publication: 2021 Jun 12.


Image processing pipeline for the detection of blood flow through retinal vessels with subpixel accuracy in fundus images.
Authors: Czepita M; Fabijańska A
Published: 2021
Resource Type: Academic Journal
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2021 Sep; Vol. 208, pp. 106240. Date of Electronic Publication: 2021 Jun 18.


[Regional classification-guided wavelet Y-Net network for hard exudate segmentation in fundus images].
Authors: Zhang L; Fang Z; Tang Y; Yang F
Published: 2021
Resource Type: Academic Journal
Source: Nan fang yi ke da xue xue bao = Journal of Southern Medical University [Nan Fang Yi Ke Da Xue Xue Bao] 2021 Aug 20; Vol. 41 (8), pp. 1250-1259.


Automatic detection of leakage point in central serous chorioretinopathy of fundus fluorescein angiography based on time sequence deep learning.
Authors: Chen M; Jin K; You K; Xu Y; Wang Y; Yip CC; Wu J; Ye J
Published: 2021
Resource Type: Academic Journal
Source: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie [Graefes Arch Clin Exp Ophthalmol] 2021 Aug; Vol. 259 (8), pp. 2401-2411. Date of Electronic Publication: 2021 Apr 12.