RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE

Anantha Mounika; Batchu Tripura Naga Lekhana; Akula Divya

RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE

June 2022

Vol-8, Issue-3

Paper ID: 17307

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electronics And Communication Engineering

Keywords

Convolutional Neural Networks ReLU U-net DRIVE STARE Lite U-net

Abstract

There are various techniques in retinal image analysis. Some of them use deep learning algorithms using Convolutional Neural Networks (CNN). U net is one among them. so, we are extracting blood vessels from retinal fundus images collected from different database sources using pre-processing operations on different U nets. The pre-processing operations are Histogram equalization, Gamma Correction, Edge Detection, and Grey Scale Conversion.

License

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Author Information

#	Name	Institute / Affiliation
1	Anantha Mounika	Vasireddy Venkatadri Institute Of Technology
2	Batchu Tripura Naga Lekhana	Vasireddy Venkatadri Institute Of Technology
3	Akula Divya	Vasireddy Venkatadri Institute Of Technology

How to Cite

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

APA Style

Mounika, Anantha, Lekhana, Batchu Tripura Naga, & Divya, Akula (2022). RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 3764-3768.

MLA Style

Mounika, Anantha, et al. "RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 3764-3768.

IEEE Style

Anantha Mounika, Batchu Tripura Naga Lekhana, and Akula Divya, "RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 3764-3768, 2022.

Vancouver Style

Mounika Anantha, Lekhana Batchu Tripura Naga, Divya Akula. RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):3764-3768.

Harvard Style

Mounika, Anantha, Lekhana, Batchu Tripura Naga, & Divya, Akula (2022) 'RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 3764-3768.

Chicago Style

Mounika, Anantha, Batchu Tripura Naga Lekhana, and Akula Divya. "RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3764-3768.

Turabian Style

Mounika, Anantha, Batchu Tripura Naga Lekhana, and Akula Divya. "RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 3764-3768.