Tag: medical image analysis

J-BHI 2022: Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization

Our work on multi-modal AMD categorization has been published online as a regular paper in IEEE Journal of Biomedical and Health Informatics (Impact factor: 5.772). Source code is available at https://github.com/li-xirong/mmc-amd.
Proposed end-to-end solution for multi-modal AMD categorization
Weisen Wang, Xirong Li, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Dayong Ding, Youxin Chen: Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization. In: IEEE Journal of Biomedical and Health Informatics (J-BHI), 2022.

MICCAI2019: Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading

Our MICCAI2019 paper on automated nuclear cataract grading is online.

Age-related cataract is a priority eye disease, with nuclear cataract as its most common type. This paper aims for automated nuclear cataract grading based on slit-lamp photos. Different from previous efforts which rely on traditional feature extraction and grade modeling techniques, we propose in this paper a fully deep learning based solution. Given a slit-lamp photo, we localize its nuclear region by Faster R-CNN, followed by a ResNet-101 based grading model. In order to alleviate the issue of imbalanced data, a simple batch balancing strategy is introduced for improving the training of the grading network. Tested on a clinical dataset of 157 slit-lamp photos from 39 female and 31 male patients, the proposed solution outperforms the state-of-the-art, reducing the mean absolute error from 0.357 to 0.313. In addition, our solution processes a slit-lamp photo in approximately 0.1 second, which is two order faster than the state-of-the-art. With its effectiveness and efficiency, the new solution is promising for automated nuclear cataract grading.

miccai2019-nuclear-cataract-grading

Chaoxi Xu, Xiangjia Zhu, Wenwen He, Yi Lu, Xixi He, Zongjiang Shang, Jun Wu, Keke Zhang, Yinglei Zhang, Xianfang Rong, Zhennan Zhao, Lei Cai, Dayong Ding, Xirong Li: Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019, (early accept).