Diabetic Retinopathy Detection Dataset
A large scale of retina image dataset. Source: Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
Papers with Code 아카이브
Diabetic Retinopathy Detection
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데이터셋
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Retina Benchmark
The Retina Benchmark is a set of real-world tasks that accurately reflect such complexities and are designed to assess the reliability of predictive models in safety-critical scenarios. Specifically, two publicly available datasets of high-resolution human retina images exhibiting varying degrees of diabetic retinopathy, a medical condition that can lead to blindness, are used to design a suite of automated diagnosis tasks that require reliable predictive uncertainty quantification. Source: Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Image Source: https://arxiv.org/pdf/2211.12717v1.pdf
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.