Automatic analysis of transversal muscle ultrasonography images
Project description
DeepACSA
Automatic analysis of human lower limb ultrasonography images
DeepACSA is an open-source tool to evaluate the anatomical cross-sectional area of muscles in ultrasound images using deep learning.
More information about the installtion and usage of DeepACSA can be found in the online documentation. You can find information about contributing, issues and bug reports there as well.
Our trained models, training data, an executable as well as example files can be accessed at .
If you find this work useful, please remember to cite the corresponding paper, where more information about the model architecture and performance can be found as well.
Quickstart
To quickly start the DeepACSA either open the executable or type
python -m Deep_ACSA
in your prompt once the package was installed and the DeepACSA_2 env activated.
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