CCNET: Cross Coordinate Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Author:
Affiliation:
1. Shenzhen International Graduate School, Tsinghua University,Open FIESTA,Shenzhen,China,518055
2. Shenzhen International Graduate School, Tsinghua University,Department of Electronic Engineering,Shenzhen,China,518055
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871284.pdf?arnumber=9871284
Reference12 articles.
1. Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network
2. Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.
3. Diabetic Retinopathy Detection Based on Eigenvalues of the Hessian Matrix
4. Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks
5. Evaluation of a Computer-Aided Diagnosis System for Diabetic Retinopathy Screening on Public Data
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1. AI Based Fundus Image classification Using Bayesian Classifier;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
2. A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset;Diagnostics;2022-12-07
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