Mitochondria Segmentation Source Code
Here you can find the source code for our Mitochondria segmentation approach described in our CVPR 2013 paper.
Updated 19/11/2013.
Requirements
- – Linux or Windows.
- – Large amounts of RAM needed for training, depending on the size of the image stack.
Download and Compile
- – Get the code from github here
- – Unzip and read Readme.txt for detailed instructions to compile and run the code.
References
Please note that the publication lists from Infoscience integrated into the EPFL website, lab or people pages are frozen following the launch of the new version of platform. The owners of these pages are invited to recreate their publication list from Infoscience. For any assistance, please consult the Infoscience help or contact support.
Multiple Object Tracking using K-Shortest Paths Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. Vol. 33, p. 1806–1819. DOI : 10.1109/TPAMI.2011.21.Please note that the publication lists from Infoscience integrated into the EPFL website, lab or people pages are frozen following the launch of the new version of platform. The owners of these pages are invited to recreate their publication list from Infoscience. For any assistance, please consult the Infoscience help or contact support.
Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks with Learned Shape Features
IEEE Transactions on Medical Imaging. 2012. Vol. 31, num. 2, p. 474-486. DOI : 10.1109/TMI.2011.2171705.Contact
If you have any questions or bug reports, please send an email to [email protected].