Medical decision support system using weakly-labeled lung CT scans

PURPOSE: Determination and development of an effective set of models leveraging Artificial Intelligence techniques to generate a system able to support clinical practitioners working with COVID-19 patients. It involves a pipeline including classification, lung and lesion segmentation, as well as les...

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Detalles Bibliográficos
Autores principales: Murillo-González, Alejandro, González, David, Jaramillo, Laura, Galeano, Carlos, Tavera, Fabby, Mejía, Marcia, Hernández, Alejandro, Rivera, David Restrepo, Paniagua, J. G., Ariza-Jiménez, Leandro, Garcés Echeverri, José Julián, Diaz León, Christian Andrés, Serna-Higuita, Diana Lucia, Barrios, Wayner, Arrázola, Wiston, Mejía, Miguel Ángel, Arango, Sebastián, Marín Ramírez, Daniela, Salinas-Miranda, Emmanuel, Quintero, O. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medical Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554434/
https://www.ncbi.nlm.nih.gov/pubmed/36248019
http://dx.doi.org/10.3389/fmedt.2022.980735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554434/
https://www.ncbi.nlm.nih.gov/pubmed/36248019
http://dx.doi.org/10.3389/fmedt.2022.980735

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