Use of Artificial Intelligence to support the analysis of X-ray images in patients with pneumonia
- Funded by University of São Paulo
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$0Funder
University of São PauloPrincipal Investigator
Prof. Renato TinósResearch Location
BrazilLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Disease pathogenesis
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
This image bank, which is public , is made up of chest X -rays of patients without pneumonia and with viral, bacterial and COVID-19 pneumonia. Computational techniques, such as deep learning, feature selection and clustering, are being applied in order to understand which features of images allow to identify the different classes of the disease.