[International clinical diabetic retinopathy disease severity scale].
By S. Haneda, H. Yamashita. 2010
135 citations recorded by the source corpus.
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Citations in the corpus
- A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy (2020, background): “When received, the ophthalmologist evaluates the images for the presence and severity of DR. DR generally has 4 levels of severity: Mild, Moderate, Severe Non-Proliferative, and Proliferative [28].”
- Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy (2017, methodology): “…methods for assessing the severity of diabetic eye disease have been established, including the Early Treatment Diabetic Retinopathy Study Grading System [1], the Scottish Diabetic Retinopathy Grading System [2], and the International Clinical Diabetic Retinopathy (ICDR) disease severity scale [3].”
- Transfusion: Understanding Transfer Learning for Medical Imaging (2019, background): “DR is graded on a ve-class scale of increasing severity (AAO, 2002).”
- A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection (2019, background): “to neovascularization, a natural formation of new blood vessels in the form of functional microvascular networks that grow on the inside surface of the retina [2].”
- Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference (2018, methodology): “…retinal fundus images primarily sourced from EyePACS and was graded by 54 opthalmologists or opthalmologist trainees using the International Clinical Diabetic Retinopathy scale [7] into ‘none’, ‘mild’, ‘moderate’, ‘severe’, or ‘proliferative’ ratings for the severity of the condition.”
- Fundus Image Classification Using VGG-19 Architecture with PCA and SVD (2018, methodology): “DR followed by the standards of the The ML-BEC technique contains two phases. severity scale [11].”