Literature DB >> 32880607

Novel Low-Shot Deep Learning Approach for Retinal Image Classification With Few Examples.

Matthew S Hunt1,2, Yuka Kihara1, Aaron Y Lee1.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 32880607      PMCID： PMC8168377          DOI： 10.1001/jamaophthalmol.2020.3256

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN： 2168-6165            Impact factor:   7.389


× No keyword cloud information.
  5 in total

1.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

2.  Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

Authors:  Philippe Burlina; William Paul; Philip Mathew; Neil Joshi; Katia D Pacheco; Neil M Bressler
Journal:  JAMA Ophthalmol       Date:  2020-10-01       Impact factor: 7.389

3.  Forecasting future Humphrey Visual Fields using deep learning.

Authors:  Joanne C Wen; Cecilia S Lee; Pearse A Keane; Sa Xiao; Ariel S Rokem; Philip P Chen; Yue Wu; Aaron Y Lee
Journal:  PLoS One       Date:  2019-04-05       Impact factor: 3.240

4.  Estimating Retinal Sensitivity Using Optical Coherence Tomography With Deep-Learning Algorithms in Macular Telangiectasia Type 2.

Authors:  Yuka Kihara; Tjebo F C Heeren; Cecilia S Lee; Yue Wu; Sa Xiao; Simone Tzaridis; Frank G Holz; Peter Charbel Issa; Catherine A Egan; Aaron Y Lee
Journal:  JAMA Netw Open       Date:  2019-02-01

5.  Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.

Authors:  Cecilia S Lee; Ariel J Tyring; Yue Wu; Sa Xiao; Ariel S Rokem; Nicolaas P DeRuyter; Qinqin Zhang; Adnan Tufail; Ruikang K Wang; Aaron Y Lee
Journal:  Sci Rep       Date:  2019-04-05       Impact factor: 4.379
  5 in total
  2 in total

1.  Using Metabolic and Biochemical Indicators to Predict Diabetic Retinopathy by Back-Propagation Artificial Neural Network.

Authors:  Bo Su
Journal:  Diabetes Metab Syndr Obes       Date:  2021-09-15       Impact factor: 3.168

Review 2.  Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy.

Authors:  Xuan Huang; Hui Wang; Chongyang She; Jing Feng; Xuhui Liu; Xiaofeng Hu; Li Chen; Yong Tao
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-29       Impact factor: 6.055
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.