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Title: :  RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE
PaperId: :  17307
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17307
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anantha MounikaVasireddy Venkatadri Institute Of Technology
Batchu Tripura Naga LekhanaVasireddy Venkatadri Institute Of Technology
Akula DivyaVasireddy Venkatadri Institute Of Technology

Abstract

Electronics And Communication Engineering
Convolutional Neural Networks, ReLU, U-net, DRIVE, STARE, Lite U-net
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.

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IJARIIE 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 Volume 8 Issue 3 2022 Page 3764-3768
MLA 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 8.3(2022) : 3764-3768.
APA Anantha Mounika, Batchu Tripura Naga Lekhana, & Akula Divya. (2022). RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 3764-3768.
Chicago 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 8, no. 3 (2022) : 3764-3768.
Oxford 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, 2022, p. 3764-3768. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/RETINAL_BLOOD_VESSEL_SEGMENTATION_USING_LITE_U_NET_ARCHITECTURE_ijariie17307.pdf (Accessed : ).
Harvard Anantha Mounika, Batchu Tripura Naga Lekhana, and Akula Divya. (2022) 'RETINAL BLOOD VESSEL SEGMENTATION USING LITE U-NET ARCHITECTURE', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 3764-3768IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/RETINAL_BLOOD_VESSEL_SEGMENTATION_USING_LITE_U_NET_ARCHITECTURE_ijariie17307.pdf (Accessed : )
IEEE 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, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/RETINAL_BLOOD_VESSEL_SEGMENTATION_USING_LITE_U_NET_ARCHITECTURE_ijariie17307.pdf [Accessed : ].
Turabian 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 [Online]. volume 8 number 3 ().
Vancouver 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 [Internet]. 2022 [Cited : ]; 8(3) : 3764-3768. Available from: https://ijariie.com/AdminUploadPdf/RETINAL_BLOOD_VESSEL_SEGMENTATION_USING_LITE_U_NET_ARCHITECTURE_ijariie17307.pdf
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