Skip to main content

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. 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 environment activated.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deepacsa-0.3.1.tar.gz (81.3 kB view hashes)

Uploaded Source

Built Distribution

deepacsa-0.3.1-py3-none-any.whl (50.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page