A deep learning-based approach for glomeruli instance segmentation from multi-stained renal biopsy pathologic images
This repo is the official implementation of our paper "A deep learning-based approach for glomeruli instance segmentation from multi-stained renal biopsy pathologic images".
Pytorch version: 1.2.0
Run
python code/tools/train.py code/tools/cascade_mask_rcnn_r50_fpn_1x.py --work_dir="code/work_dirs"
This repo is developed based on mmdetection. Please refer to get_started.md for more details.
@article{jiang2021deep,
title={A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images},
author={Jiang, Lei and Chen, Wenkai and Dong, Bao and Mei, Ke and Zhu, Chuang and Liu, Jun and Cai, Meishun and Yan, Yu and Wang, Gongwei and Zuo, Li and others},
journal={The American Journal of Pathology},
volume={191},
number={8},
pages={1431--1441},
year={2021},
publisher={Elsevier}
}
Wenkai Chen
- email: wkchen@bupt.edu.cn, czhu@bupt.edu.cn
- wechat: cwkyiyi
If you have any questions, you can contact me directly.