Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs-Reference-Cited by-全球学者库

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

Published:2016-12-13 Issue:22 Volume:316 Page:2402
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Gulshan Varun¹,Peng Lily¹,Coram Marc¹,Stumpe Martin C.¹,Wu Derek¹,Narayanaswamy Arunachalam¹,Venugopalan Subhashini²,Widner Kasumi¹,Madams Tom¹,Cuadros Jorge³,Kim Ramasamy⁴,Raman Rajiv⁵,Nelson Philip C.¹,Mega Jessica L.⁶,Webster Dale R.¹

Affiliation:

1. Google Inc, Mountain View, California

2. Google Inc, Mountain View, California2Department of Computer Science, University of Texas, Austin

3. EyePACS LLC, San Jose, California4School of Optometry, Vision Science Graduate Group, University of California, Berkeley

4. Aravind Medical Research Foundation, Aravind Eye Care System, Madurai, India

5. Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India

6. Verily Life Sciences, Mountain View, California8Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts

Publisher

American Medical Association (AMA)

Subject

General Medicine

Cited by 4455 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated measurement extraction for assessing simple suture quality in medical education;Expert Systems with Applications;2024-05

2. Rheumatoid arthritis classification and prediction by consistency-based deep learning using extremity MRI scans;Biomedical Signal Processing and Control;2024-05

3. Deep learning-based forecasting modeling of micro gas turbine performance projection: An experimental approach;Engineering Applications of Artificial Intelligence;2024-04

4. The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer;Expert Systems with Applications;2024-03

5. Usability of synthesized image using generative adversarial network for prediction model of recurrence after radiotherapy in locally advanced cervical cancer;Biomedical Signal Processing and Control;2024-03