Optimization of two dimensional images, Psst issues?

Authors

  • Elibeth Aguilar LATAM ultrasound clinical education department
  • Patricia Restrepo Clínica Las Américas AUNA, Medellín, Colombia.

DOI:

https://doi.org/10.37615/retic.v5n2a14

Keywords:

two dimensional image (2D), controls, Artificial Intelligence (AI), 2D Optimization.

Abstract

Description of image controls in ultrasound machines for optimization of Two dimensional images. Discussion
about Artifitial Intelligence in this issue.

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References

Bean BA and Oss KA. Echocardiography Review. Pasadena, CA: Appleton Davies, Inc.; 1990.

Gandhi S, Mosleh W, Shen J and Chow CM. Automation, machine learning, and artificial intelligence in echocardiography: A brave new world. Echocardiography. 2018; 9:1402-1418. (Disponible en: Automation, machine learning, and artificial intelligence in chocardiography: A brave new world - Gandhi - 2018 - Echocardiography - Wiley Online Library). DOI: https://doi.org/10.1111/echo.14086

Miele FR. Ultrasound Physics and Instrumentation, Vol. 1. Forney, TX: Miele Enterprises, Inc; 2006.

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Published

2022-08-30

How to Cite

1.
Aguilar E, Restrepo P. Optimization of two dimensional images, Psst issues?. Rev Ecocardiogr Pract Otras Tec Imag Card (RETIC) [Internet]. 2022 Aug. 30 [cited 2024 Nov. 23];5(2):62-5. Available from: https://imagenretic.org/RevEcocarPract/article/view/450

Issue

Vol. 5 No. 2 (2022): Journal of Practical Echocardiography and Other Cardiac Imaging Techniques

Section

TRUKIPEDIA

License

Copyright (c) 2022 Elibeth Aguilar, Patricia Restrepo

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

RETIC is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license https://creativecommons.org/licenses/by-nc-nd/4.0 which allows sharing, copying and redistribution of the material in any medium or format, under the following terms:

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