Literature DB >> 35001087

Accessible artificial intelligence for ophthalmologists.

Adrit Rao1, Harvey Fishman2.   

Abstract

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Year:  2022        PMID： 35001087      PMCID： PMC8956683          DOI： 10.1038/s41433-021-01891-6

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN： 0950-222X            Impact factor:   3.775


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  3 in total

1.  Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images.

Authors:  Tae Keun Yoo; Ik Hee Ryu; Jin Kuk Kim; In Sik Lee
Journal:  Eye (Lond)       Date:  2021-10-05       Impact factor: 4.456

2.  Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning.

Authors:  Zhongwen Li; Chong Guo; Danyao Nie; Duoru Lin; Tingxin Cui; Yi Zhu; Chuan Chen; Lanqin Zhao; Xulin Zhang; Meimei Dongye; Dongni Wang; Fabao Xu; Chenjin Jin; Ping Zhang; Yu Han; Pisong Yan; Haotian Lin
Journal:  Eye (Lond)       Date:  2021-08-03       Impact factor: 4.456

3.  Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs.

Authors:  Feng Li; Yuguang Wang; Tianyi Xu; Lin Dong; Lei Yan; Minshan Jiang; Xuedian Zhang; Hong Jiang; Zhizheng Wu; Haidong Zou
Journal:  Eye (Lond)       Date:  2021-07-01       Impact factor: 4.456
  3 in total

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