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A Deep Learning Ensemble Approach For Diabetic Ret PDF

10 Pages·2021·English
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by ['Muhammad Junaid Ali']| 2021| 10 pages| English

About A Deep Learning Ensemble Approach For Diabetic Ret

This document describes a study that uses an ensemble of deep learning models to detect diabetic retinopathy (DR) from fundus images. The study aims to more accurately classify the different stages of DR, including mild cases that current methods struggle with. An ensemble of five CNN models (ResNet50, InceptionV3, Xception, DenseNet121, DenseNet169) is trained on a publicly available dataset to encode visual features. Experimental results show the proposed ensemble model can detect all DR stages with better performance than state-of-the-art methods on the same dataset.

Detailed Information

Author:['Muhammad Junaid Ali']
Publication Year:2021
Pages:10
Language:English
Format:PDF
Price:FREE
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