Efficient Diabetic Retinopathy Segmentation and Classification using Residual Encoder-Decoder Architecture

Sashi Kanth Betha; J. Beatrice Seventline

doi:10.1109/icscss60660.2024.10625246

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Efficient Diabetic Retinopathy Segmentation and Classification using Residual Encoder-Decoder Architecture

Sashi Kanth Betha J. Beatrice Seventline

Year: 2024 Pages: 1491-1497

DOI: 10.1109/icscss60660.2024.10625246

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Keywords:

Diabetic retinopathy Computer science Residual Segmentation Encoder Artificial intelligence Image segmentation Retinopathy Architecture Computer vision Pattern recognition (psychology) Medicine Diabetes mellitus Algorithm

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Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Efficient Diabetic Retinopathy Segmentation and Classification using Residual Encoder-Decoder Architecture

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Citation History

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