Search Results for author: Shanshan Cui

Found 3 papers, 1 papers with code

A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

no code implementations22 Aug 2020 Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao

This dataset has 1, 842 images with pixel-level DR-related lesion annotations, and 1, 000 images with image-level labels graded by six board-certified ophthalmologists with intra-rater consistency.

Lesion Segmentation Transfer Learning

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

no code implementations10 Dec 2019 Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao

In this paper, we propose a diabetic retinopathy generative adversarial network (DR-GAN) to synthesize high-resolution fundus images which can be manipulated with arbitrary grading and lesion information.

Data Augmentation Generative Adversarial Network +1

Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces

2 code implementations10 Jul 2019 Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao

Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated analysis systems.

Image Quality Assessment

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