Enhancing Diabetic Retinopathy Screening with Sequential Deep Learning Models
Author:
Affiliation:
1. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering (AIE),Chennai,India
2. Yale University,Section for Biomedical Informatics and Data Science School of Medicine,New Haven,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537711.pdf?arnumber=10537711
Reference22 articles.
1. Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images
2. Automatic Detection of Retinal Lesions for Screening of Diabetic Retinopathy
3. Use of Expectation Disconfirmation Theory to Test Patient Satisfaction with Asynchronous Telemedicine for Diabetic Retinopathy Detection
4. Automated Diabetic Retinopathy Detection Using Bag of Words Approach
5. A review of optical coherence tomography angiography (OCTA)
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