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Research Article
Ocular Disease Intelligent Recognition using Hybrid CNN Approach
Mohammed Ismail A1
Subash S2
Dhanush Kannan A3
Dr.J. B Jona4
S.A. Gunasekaran5
123 MSc (Integrated) Decision and Computing Sciences, Coimbatore Institute of Technology, Tamilnadu, India. 4Associate Professor, Department of Computer Applications, Coimbatore Institute of Technology, Tamilnadu, India. 5 Assistant Professor, Department of Computer Applications, Coimbatore Institute of Technology, Tamilnadu, India.
Published Online: May-June 2022
Pages: 469-472
Cite this article
No DOIReferences
[1] P GokilaBrindha, M Kavinraj, P Manivasakam and P Prasanth, “Brain tumor detection from MRI images using deep learning
techniques”, in IOP Conference Series: Materials Science and Engineering, 2021. doi:10.1088/1757-899X/1055/1/012115
[2] Md Shakib Khan, NafisaTafshir, Mohammad Monirujjaman Khan, “Deep Learning for Ocular Disease Recognition: An Inner-Class
Balance” in Computational Intelligence and Neuroscience, Volume 2022. Doi:10.1155/2022/5007111
[3] TakfarinesGuergueb, Moulay A Akhloufi, “Ocular Diseases Detection using Recent Deep Learning Techniques”, in 2021 43rd
Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Doi: 10.1109/ EMBC46164.
2021.9629763
[4] Simi Sanya, M Seetha, “Detection of Ocular Diseases using Ensemble of Deep Learning Models” in International Journal Of
Engineering Research & Technology (IJERT), Oct 2021. Doi: 10.17577/ IJERTV10IS090221
[5] Ye Mu, Yuheng Sun, Tianli Hu, He Gong, “Improved Model of Eye Disease Recognition Based on VGG Model” in Intelligent
Automation and Soft Computing 68(3):729-737. Doi: 10.32604/iasc.2021.016569
[6] Ning Li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang, “A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multidisease Detection” in Computer Vision and Pattern Recognition, Feb 2021. Doi: 10.48550/arXiv.2102.07978
[7] Awais Mehmood, Munwar Iqbal, Zahid Mehmood, AunIrtaza, “Prediction of Heart Disease Using Deep Convolutional Neural
Networks”, Arabian Journal For Science And Engineering, Oct-2020. Doi: 10.1007/s13369-020-05105-1
[8] Sammy Militante, Bobby Dioquino Gerardo, Ruji Medina, “Sugarcane Disease Recognition using Deep Learning”, in IEEE Eurasia
Conference on IOT, Communication and Engineering, Oct-2019. Doi: 10.1109/ECICE47484.2019.8942690
techniques”, in IOP Conference Series: Materials Science and Engineering, 2021. doi:10.1088/1757-899X/1055/1/012115
[2] Md Shakib Khan, NafisaTafshir, Mohammad Monirujjaman Khan, “Deep Learning for Ocular Disease Recognition: An Inner-Class
Balance” in Computational Intelligence and Neuroscience, Volume 2022. Doi:10.1155/2022/5007111
[3] TakfarinesGuergueb, Moulay A Akhloufi, “Ocular Diseases Detection using Recent Deep Learning Techniques”, in 2021 43rd
Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Doi: 10.1109/ EMBC46164.
2021.9629763
[4] Simi Sanya, M Seetha, “Detection of Ocular Diseases using Ensemble of Deep Learning Models” in International Journal Of
Engineering Research & Technology (IJERT), Oct 2021. Doi: 10.17577/ IJERTV10IS090221
[5] Ye Mu, Yuheng Sun, Tianli Hu, He Gong, “Improved Model of Eye Disease Recognition Based on VGG Model” in Intelligent
Automation and Soft Computing 68(3):729-737. Doi: 10.32604/iasc.2021.016569
[6] Ning Li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang, “A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multidisease Detection” in Computer Vision and Pattern Recognition, Feb 2021. Doi: 10.48550/arXiv.2102.07978
[7] Awais Mehmood, Munwar Iqbal, Zahid Mehmood, AunIrtaza, “Prediction of Heart Disease Using Deep Convolutional Neural
Networks”, Arabian Journal For Science And Engineering, Oct-2020. Doi: 10.1007/s13369-020-05105-1
[8] Sammy Militante, Bobby Dioquino Gerardo, Ruji Medina, “Sugarcane Disease Recognition using Deep Learning”, in IEEE Eurasia
Conference on IOT, Communication and Engineering, Oct-2019. Doi: 10.1109/ECICE47484.2019.8942690
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