9 datasets found

The dataset used for the proposed Concept-Centric Visual Turing Test (VTT) framework for evaluating MIC methods.

A public diabetic retinopathy dataset containing 5,590 images with image-level grading labels.

A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels.

The APTOS 2019 blindness detection competition dataset is used for training and testing the proposed Frequency Domain Convolutional Neural Network (FDCNN) architecture.

Retinal fundus images have been extensively used for clinical analysis of various ocular diseases, but the quality of fundus images is critical to the diagnosis and screening of...

The dataset used in the diabetic retinopathy detection task in the conformal risk control framework.

The EyePACS dataset consists of 35,126 training images and 53,576 testing images only containing grading labels.

The Isfahan MISP dataset, consisting of retinography and angiography images of diabetic patients.

The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used a dataset for medical image classification, specifically for diabetic...