RDN_segmentation

Home of the FEMR Lab RDN segmentation software at PSU

Install

For standalone version of RDN Segementer, download RDN_segmentation_container folder from https://drive.google.com/drive/folders/1iPtUwCdCiEAd8kMslV4znbZyJqAlmCKl?usp=sharing and follow RDN_Install_Use_Instructions.txt. Note: Standalone version only works on Windows systems.

This project uses python poetry to manage the environment

Read more about this here: https://python-poetry.org/

Authors

• Nicholas B. Stephens - Initial work nbs49@psu.edu
• **Amiraseed Yazdani - Network design
• **Yung-Chen Sun - Network design
• Sharon Kuo - SharonKuo@psu.edu
• Lily J. Demars - lvd5263@psu.edu
• Tim M. Ryan - PI tmr21@psu.edu
• Vishal Monga - PI vum4@psu.edu

Funded by

NSF BCS 1719187

Please cite

@INPROCEEDINGS{9443322,  
  author={Yazdani, Amirsaeed and Sun, Yung-Chen and Stephens, Nicholas B. and Ryan, Timothy and Monga, Vishal},  
  booktitle={2020 54th Asilomar Conference on Signals, Systems, and Computers},   
  title={Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks},   
  year={2020},  
  pages={1553-1557},  
  doi={10.1109/IEEECONF51394.2020.9443322}}

@INPROCEEDINGS{9048654,
  author={Yazdani, Amirsaeed and Stephens, Nicholas B. and Cherukuri, Venkateswararao and Ryan, Timothy and Monga, Vishal},
  booktitle={2019 53rd Asilomar Conference on Signals, Systems, and Computers},
  title={Domain-Enriched Deep Network for Micro-CT Image Segmentation}, 
  year={2019},
  pages={1867-1871},
  doi={10.1109/IEEECONF44664.2019.9048654}}

License

This project is open-source software distributed under the terms and conditions of the Free Software Foundation's GNU General Public License. https://www.gnu.org/licenses/gpl-3.0.txt