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Research Article
Design and Implementation of Retinal Eye Disease Detection Based on Machine Learning
Dr. Sanjay Asutkar1
Khushal Masarkar2
Meenakshi Atalkar3
12Professor, Electronics and communication Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology, Nagpur, Maharashtra, India. 3PG Scholar, Electronics and communication Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology, Nagpur, Maharashtra, India.
Published Online: March-April 2024
Pages: 91-93
Cite this article
No DOIReferences
1. Dolly Sahu, Sachin Meshram, “Automatic Detection of Hemorrhages Using Image Processing Technique”, International Journal of
Engineering Sciences & Research Technology, ISSN: 2277-9655, 2016.
2. Ruchir Srivastava, Lixin Duan, Damon W. K. Wong, Jiang Liu, Tien Yin Wong, “Detecting retinal microaneurysms and hemorrhages with
robustness to the presence of blood vessels”, Elsevier, computer methods and programs in biomedicine 138, 2017.
3. Falguni Thakkar, Rajvi Parikh, “A Survey on Automatic Detection of Diabetic Retinopathy Exudates from Retinal Fundus Images”,
International Journal of Advanced Research in Computer and Communication Engineering, ISSN (Online) 2278-1021, Vol. 5, Issue 5,
2016.
4. Javeria Amin, Muhammad Sharif, and Mussarat Yasmin, “A Review on Recent Developments for Detection of Diabetic Retinopathy”,
Hindawi Publishing Corporation Scientifica Volume 2016, 6838976, 2016.
5. Ishmeet Kaur & Lalit Mann Singh, “A Method of Disease Detection and Segmentation of Retinal Blood Vessels using Fuzzy C-Means and
Neutrosophic Approach”, Imperial Journal of Interdisciplinary Research (IJIR), ISSN: 2454-1362, Vol-2, Issue-6, 2016.
6. Reshma M. M., Chavan M. S, “Detection of Hemorrhage from Fundus Images using Hybrid Method”, International Journal of Computer
Applications (0975 – 8887), Volume 107 – No 12, 2014. I. S. Jacobs and C. P. Bean, “Fine particles, thin films and exchange anisotropy,”
in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271–350.
Engineering Sciences & Research Technology, ISSN: 2277-9655, 2016.
2. Ruchir Srivastava, Lixin Duan, Damon W. K. Wong, Jiang Liu, Tien Yin Wong, “Detecting retinal microaneurysms and hemorrhages with
robustness to the presence of blood vessels”, Elsevier, computer methods and programs in biomedicine 138, 2017.
3. Falguni Thakkar, Rajvi Parikh, “A Survey on Automatic Detection of Diabetic Retinopathy Exudates from Retinal Fundus Images”,
International Journal of Advanced Research in Computer and Communication Engineering, ISSN (Online) 2278-1021, Vol. 5, Issue 5,
2016.
4. Javeria Amin, Muhammad Sharif, and Mussarat Yasmin, “A Review on Recent Developments for Detection of Diabetic Retinopathy”,
Hindawi Publishing Corporation Scientifica Volume 2016, 6838976, 2016.
5. Ishmeet Kaur & Lalit Mann Singh, “A Method of Disease Detection and Segmentation of Retinal Blood Vessels using Fuzzy C-Means and
Neutrosophic Approach”, Imperial Journal of Interdisciplinary Research (IJIR), ISSN: 2454-1362, Vol-2, Issue-6, 2016.
6. Reshma M. M., Chavan M. S, “Detection of Hemorrhage from Fundus Images using Hybrid Method”, International Journal of Computer
Applications (0975 – 8887), Volume 107 – No 12, 2014. I. S. Jacobs and C. P. Bean, “Fine particles, thin films and exchange anisotropy,”
in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271–350.
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