SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS

Bommi Naveen; Annapragada Surya Mohan Kiran; Bharat Kumar Udayagiri; Brugubanda Pavan kalyan; BathulaVenkata Sai Chandrasekhar

SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS

March 2024

Vol-10, Issue-2

Paper ID: 22874

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Deep Learning

Keywords

Retinal vasculature Systemic diseases Deep learning models Semantic segmentation Security

Abstract

The retinal vasculature serves as a crucial diagnostic tool for systemic diseases such as hypertension and diabetes, which primarily affect the microvascular system. Direct observation of these micro-vessels in the retina offers valuable insights into disease progression. Over time, the assessment of retinal vessels has become a surrogate biomarker for systemic vascular conditions. Recent advancements in retinal imaging and computer vision technologies have sparked renewed interest in this field. This project uses the RAVIR dataset, which is specifically tailored for the semantic segmentation of retinal arteries and veins in infrared reflectance (IR) imaging. Our objective is to develop deep learning models that can distinguish between different vessel types with minimal post-processing. We explore innovative deep learning-based methodologies for the semantic segmentation of retinal arteries and veins and quantitative measurement of vessel widths.

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Author Information

#	Name	Institute / Affiliation
1	Bommi Naveen	Vasireddy Venkatadri Institute of Technology
2	Annapragada Surya Mohan Kiran	Vasireddy Venkatadri Institute of Technology
3	Bharat Kumar Udayagiri	Vasireddy Venkatadri Institute of Technology
4	Brugubanda Pavan kalyan	Vasireddy Venkatadri Institute of Technology
5	BathulaVenkata Sai Chandrasekhar	Vasireddy Venkatadri Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Naveen, Bommi, Kiran, Annapragada Surya Mohan, Udayagiri, Bharat Kumar, kalyan, Brugubanda Pavan, & Chandrasekhar, BathulaVenkata Sai (2024). SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 1085-1091.

MLA Style

Naveen, Bommi, et al. "SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 1085-1091.

IEEE Style

Bommi Naveen, Annapragada Surya Mohan Kiran, Bharat Kumar Udayagiri, Brugubanda Pavan kalyan, and BathulaVenkata Sai Chandrasekhar, "SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 1085-1091, 2024.

Vancouver Style

Naveen Bommi, Kiran Annapragada Surya Mohan, Udayagiri Bharat Kumar, kalyan Brugubanda Pavan, Chandrasekhar BathulaVenkata Sai. SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):1085-1091.

Harvard Style

Naveen, Bommi, Kiran, Annapragada Surya Mohan, Udayagiri, Bharat Kumar, kalyan, Brugubanda Pavan, & Chandrasekhar, BathulaVenkata Sai (2024) 'SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 1085-1091.

Chicago Style

Naveen, Bommi, et al. "SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1085-1091.

Turabian Style

Naveen, Bommi, et al. "SEMANTIC SEGMENTATION OF RETINAL ARTERIES AND VEINS USING DEEP LEARNING BASED METHODS." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1085-1091.