PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification

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.

Decision Making Image Classification +1

A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation

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.

Cell Segmentation

Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey

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.

BIG-bench Machine Learning Classification +1