Skip to content

Latest commit

 

History

History
9 lines (6 loc) · 739 Bytes

README.md

File metadata and controls

9 lines (6 loc) · 739 Bytes

An efficient multilevel threshold image segmentation method for COVID-19 imaging using Q-Learning based Golden Jackal Optimization

Note: The source code of QLGJO will be uploaded after the paper has been accepted

COVID-19 CT image segmentation

This repository also includes examples of COVID-19 CT image segmentation.

Citation

If this is helpful to your work, please cite this paper, thank you🥰

If you have any other questions, please do not hesitate to contact me🌈

Wang, Z., Mo, Y. & Cui, M. An Efficient Multilevel Threshold Image Segmentation Method for COVID-19 Imaging Using Q-Learning Based Golden Jackal Optimization. J Bionic Eng (2023). https://doi.org/10.1007/s42235-023-00391-5