Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.
For more information, see the documentation website.
If you experience issues during installation and/or use of AxonDeepSeg, you can post a new issue on the AxonDeepSeg GitHub issues webpage. We will reply to you as soon as possible.
If you use this work in your research, please cite it as follows:
Zaimi, A., Wabartha, M., Herman, V., Antonsanti, P.-L., Perone, C. S., & Cohen-Adad, J. (2018). AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks. Scientific Reports, 8(1), 3816. Link to paper: https://doi.org/10.1038/s41598-018-22181-4.
Copyright (c) 2018 NeuroPoly (Polytechnique Montreal)
The MIT License (MIT)
Copyright (c) 2018 NeuroPoly, École Polytechnique, Université de Montréal
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Pierre-Louis Antonsanti, Mathieu Boudreau, Oumayma Bounou, Julien Cohen-Adad, Victor Herman, Melanie Lubrano, Christian Perone, Maxime Wabartha, Aldo Zaimi.