ABSTRACT
We describe the curation, annotation methodology, and characteristics of the dataset used in an artificial intelligence challenge for detection and localization of COVID-19 on chest radiographs. The chest radiographs were annotated by an international group of radiologists into four mutually exclusive categories, including "typical," "indeterminate," and "atypical appearance" for COVID-19, or "negative for pneumonia," adapted from previously published guidelines, and bounding boxes were placed on airspace opacities. This dataset and respective annotations are available to researchers for academic and noncommercial use.
ABSTRACT
The COVID-19 pandemic affected access to education. From the analysis to the governmental measures, the absence of teacher training was found, this motivated the initiative of a group of Professionals to create an online program. The objective of this article is: To point out the elements that made up the initiative;Identify the results obtained;Highlight the success factors and make some recommendations. The research is qualitative, descriptive. The need to provide equipment, use of specialized applications, the Internet and spaces for the development of skills in self-management of learning is highlighted.