# Py-Echo
Py-Echo is a Python package providing tools for easy handling of echo images in DICOM format built on top of pydicom, NumPy, MatPlotLib and Open-CV.
#### Version: 2024.07.16
## Installation and usage
Please install this package using PiP by typing:
`pip install DEVCONHEART_pyecho`
Import this package as:
`import pyecho as pye`
## Author:
Alejandro Alcaine OtÃn, Ph.D\
Computing for Medical and Biological Applications (CoMBA) research Group\
MESC Working Group on e-Cardiology\
MESC European Association of Cardiovascular Imaging (EACVI)\
lalcaine@usj.es
Faculty of Health Sciences\
University San Jorge\
Villanueva de Gallego (Zaragoza)\
Spain
## Acknowledgments:
This package was possible partially thanks to the Departamento de Ciencia, Universidad y Sociedad del Conocimiento, from the Gobierno de Aragón (Spain) (Research Group T71\_23D). Also thanks to Project PID2022-139143OA-I00 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU.
<img src='https://www.aei.gob.es/sites/default/files/inline-images/MICIU%2BCofinanciado%2BAEI.jpg'/>
## Citation:
If you use this package in your research, please cite as:
D. Chaparro-Victoria et. al. *"Automatic Segmentation of the Inferior Vena Cava from M-mode Ultrasound Images"*. Proceedings of Computing in Cardiology 2024.
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"description": "# Py-Echo\r\nPy-Echo is a Python package providing tools for easy handling of echo images in DICOM format built on top of pydicom, NumPy, MatPlotLib and Open-CV.\r\n\r\n#### Version: 2024.07.16\r\n\r\n## Installation and usage\r\n\r\nPlease install this package using PiP by typing:\r\n\r\n`pip install DEVCONHEART_pyecho`\r\n\r\nImport this package as:\r\n\r\n`import pyecho as pye`\r\n\r\n## Author:\r\n\r\nAlejandro Alcaine Ot\u00c3\u00adn, Ph.D\\\r\nComputing for Medical and Biological Applications (CoMBA) research Group\\\r\nMESC Working Group on e-Cardiology\\\r\nMESC European Association of Cardiovascular Imaging (EACVI)\\\r\nlalcaine@usj.es\r\n\r\nFaculty of Health Sciences\\\r\nUniversity San Jorge\\\r\nVillanueva de Gallego (Zaragoza)\\\r\nSpain\r\n\r\n## Acknowledgments:\r\nThis package was possible partially thanks to the Departamento de Ciencia, Universidad y Sociedad del Conocimiento, from the Gobierno de Arag\u00c3\u00b3n (Spain) (Research Group T71\\_23D). Also thanks to Project PID2022-139143OA-I00 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU. \r\n\r\n<img src='https://www.aei.gob.es/sites/default/files/inline-images/MICIU%2BCofinanciado%2BAEI.jpg'/>\r\n\r\n## Citation:\r\nIf you use this package in your research, please cite as:\r\n\r\nD. Chaparro-Victoria et. al. *\"Automatic Segmentation of the Inferior Vena Cava from M-mode Ultrasound Images\"*. Proceedings of Computing in Cardiology 2024.\r\n",
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