no code implementations • 30 May 2023 • Yinglin Zhang, Ruiling Xi, Huazhu Fu, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu
Second, we extract the uncertainty under different scales and propose the multi-scale uncertainty-aware (MSUA) fusion module to integrate structure contexts from hierarchical predictions, strengthening the final prediction.
no code implementations • 3 Mar 2023 • Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Jiansheng Fang, Junyong Shen, Yan Hu, Risa Higashita, Jiang Liu
Spatial attention mechanism has been widely incorporated into deep convolutional neural networks (CNNs) via long-range dependency capturing, significantly lifting the performance in computer vision, but it may perform poorly in medical imaging.
no code implementations • 21 May 2021 • Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu
Corneal endothelial cell segmentation plays a vital role inquantifying clinical indicators such as cell density, coefficient of variation, and hexagonality.
no code implementations • 9 Dec 2020 • Xiaoqing Zhang, Yan Hu, Zunjie Xiao, Jiansheng Fang, Risa Higashita, Jiang Liu
This survey provides a comprehensive survey of recent advances in machine learning techniques for cataract classification/grading based on ophthalmic images.