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M. Kirubakaran, V. Vijayarajan
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Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis
10.1016/j.ophtha.2021.04.027 · 2021
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · 2016
Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning
10.1167/iovs.16-19964 · 2016
Advances in teleophthalmology and artificial intelligence for diabetic retinopathy screening: a narrative review
10.21037/aes-23-10 · 2024
Effectiveness of conventional digital fundus photography-based teleretinal screening for diabetic retinopathy and diabetic macular edema: a report by the American Academy of Ophthalmology
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10.1109/mc.2015.33 · doi-reference
Stochastic analysis of nonlinear cancer disease model through virotherapy and computational methods
10.3390/math10030368 · doi-reference
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10.1109/access.2020.2968985 · doi-reference
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10.1007/s10586-025-05481-z · doi-reference
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10.3390/computers15010009 · doi-reference
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A fast quantum mechanical algorithm for database search
10.1145/237814.237866 · doi-reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · doi-reference
Region of interest-based medical image encryption technique based on chaotic S-boxes
10.1016/j.eswa.2023.122030 · doi-reference
Novel medical image encryption scheme based on chaos and DNA encoding
10.1109/access.2019.2906292 · doi-reference
Medical image encryption using high-speed scrambling and pixel adaptive diffusion
10.1016/j.sigpro.2017.10.004 · doi-reference
Design of a secure medical data sharing scheme based on blockchain
10.1007/s10916-019-1468-1 · doi-reference
Secure sharing of electronic medical records based on blockchain
10.1155/2024/5569121 · doi-reference
Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology
10.1186/s12911-020-01275-y · doi-reference
HealthRec-Chain: patient-centric blockchain enabled IPFS for privacy preserving scalable health data
10.1016/j.comnet.2024.110223 · doi-reference
Medrec: using blockchain for medical data access and permission management
10.1109/obd.2016.11 · doi-reference
Design and evaluation of IPFS: a storage layer for the decentralized web
10.1145/3544216.3544232 · doi-reference
Hyperledger fabric: a distributed operating system for permissioned blockchains
10.1145/3190508.3190538 · doi-reference
Cybersecurity in an era with quantum computers: will we be ready?
10.1109/msp.2018.3761723 · doi-reference
Algorithms for quantum computation: discrete logarithms and factoring
10.1109/sfcs.1994.365700 · doi-reference
Effectiveness of conventional digital fundus photography-based teleretinal screening for diabetic retinopathy and diabetic macular edema: a report by the American Academy of Ophthalmology
10.1016/j.ophtha.2024.02.017 · doi-reference
Advances in teleophthalmology and artificial intelligence for diabetic retinopathy screening: a narrative review
10.21037/aes-23-10 · doi-reference
Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning
10.1167/iovs.16-19964 · doi-reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · doi-reference
Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis
10.1016/j.ophtha.2021.04.027 · doi-reference