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Journal of Medical Engineering & Technology Volume 43, 2019 - Issue 2
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Research Article

A review on computer-aided recent developments for automatic detection of diabetic retinopathy

Santosh Nagnath RandiveDepartment of Electronics & Communication Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India; Correspondence[email protected]
,
Ranjan K. SenapatiDepartment of Electronics & Communication Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India;
&
Amol D. RahulkarDepartment of Electrical and Electronics Engineering, National Institute of Technology, Goa, India
Pages 87-99 | Received 16 Jul 2018, Accepted 16 Dec 2018, Published online: 14 Jun 2019

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V. Desika Vinayaki & R. Kalaiselvi. (2023) AHO-MLCNN: archerfish hunting optimisation based modified lightweight CNN for diabetic retinopathy detection. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11:5, pages 1937-1946.
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S. G. Gayathri & S. Joseph Jawhar. (2023) A Novel IR Analyzer Based Property Extraction for Segmented Branch Retinal Artery Occlusion and GWO-CNN Based Classification – An Ophthalmic Outcome. IETE Journal of Research 69:4, pages 2164-2176.
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Sayel M. Abualigah, Ahmad F. Al-Naimi, Gagan Sachdeva, Omran AlAmri & Laith Abualigah. (2024) IDSDeep-CCD: intelligent decision support system based on deep learning for concrete cracks detection. Multimedia Tools and Applications.
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Ronghua Wu, Chen Tao, Hongyu Chen, Wenjing Xu, Xiao Yan, HongZhe Liu, XiuMing Zhang & Muwei Jian. (2023) Retinal Vascular Segmentation Network with Connectivity Guidance. Retinal Vascular Segmentation Network with Connectivity Guidance.
José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski & António Cunha. (2022) A Comprehensive Review of Methods and Equipment for Aiding Automatic Glaucoma Tracking. Diagnostics 12:4, pages 935.
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Georgina Faura, Gerard Boix-Lemonche, Anne Kristin Holmeide, Rasa Verkauskiene, Vallo Volke, Jelizaveta Sokolovska & Goran Petrovski. (2022) Colorimetric and Electrochemical Screening for Early Detection of Diabetes Mellitus and Diabetic Retinopathy—Application of Sensor Arrays and Machine Learning. Sensors 22:3, pages 718.
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Lifeng Yan, Shaojie Yang & Bao Lan. (2021) Design Artificial Intelligence Fiber Testing System Aided by Computer. Journal of Physics: Conference Series 2037:1, pages 012107.
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Tamoor Aziz, Ademola E. Ilesanmi & Chalie Charoenlarpnopparut. (2021) Efficient and Accurate Hemorrhages Detection in Retinal Fundus Images Using Smart Window Features. Applied Sciences 11:14, pages 6391.
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P Mohamed Jebran & Shweta Gupta. (2021) Pre-Diabetic Retinopathy identification using hybridGenetic Algorithm-Neural Network classifier. Journal of Physics: Conference Series 1937:1, pages 012033.
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