Open Access
Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
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Article Number | 03008 | |
Number of page(s) | 7 | |
Section | Data Mining, Machine Learning and Patern Recognition | |
DOI | https://doi.org/10.1051/itmconf/20245903008 | |
Published online | 25 January 2024 |
- Y. -Y. Logan, K. Kokilepersaud, G. Kwon, G. AlRegib, C. Wykoff, H. Yu, Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification, in 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), Kolkata, India, pp. 1–5 (2022). https://www.doi.org/10.1109/ISBI52829.2022.9761432 [Google Scholar]
- J.M. Jerry, T. Thomas, R. Pugalenthi, T. Thomas, Automatic Classification of Retinal Fundus Images for Diabetic Retinopathy Detection, in 2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Chennai, India, pp. 1–5 (2023). https://www.doi.org/10.1109/RAEEUCCI57140.2023.10134335 [Google Scholar]
- A.S. Jadhav, R.V. Pawar, P.B. Patil, Segmentation and Classification of Retina Images using SVD Features, in 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), Mysuru, India, pp. 712–716, (2021). https://www.doi.org/10.1109/ICEECCOT52851.2021.9707985 [Google Scholar]
- D.S. Renuga, G. Gopalakrishnan, K. Gayathri, Detection of Eye Strain using Retina Medical Images through CNN, in Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, pp. 1–5 (2021). https://www.doi.org/10.1109/STCR51658.2021.9589024 [Google Scholar]
- J. Kim, L. Tran, Retinal Disease Classification from OCT Images Using Deep Learning Algorithms, in 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Melbourne, Australia, pp. 1–6 (2021). https://www.doi.org/10.1109/CIBCB49929.2021.9562919 [Google Scholar]
- A.M. Mutawa, S. Sruthi, Diabetic Retinopathy Classification using Vision Transformer, in 6th European Conference on Electrical Engineering & Computer Science (ELECS), Bern, Switzerland, pp. 25–30 (2022). https://www.doi.org/10.1109/ELECS55825.2022.00012 [Google Scholar]
- P.K. Das, S. Pumrin, CNN Transfer Learning for Two Stage Classification of Diabetic Retinopathy using Fundus Images, in 2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), Phuket, Thailand, pp. 443–447 (2023). https://www.doi.org/10.1109/ECTIDAMTNCON57770.2023.10139437 [Google Scholar]
- M.T. Do, H.N. Huynh, T.N. Tran, T.L. Hoang, Prediction of Retina Damage in Optical Coherence Tomography Image Using Xception Architecture Model, in 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), Tainan, Taiwan, pp. 58–61 (2023). https://www.doi.org/10.1109/ECBIOS57802.2023.10218586. [Google Scholar]
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