Digital Image Analysis of Heterogeneous Tuberculosis Pulmonary Pathology in Non-Clinical Animal Models using Deep Convolutional Neural Networks

Efforts to develop effective and safe drugs for treatment of tuberculosis require preclinical evaluation in animal models. Alongside efficacy testing of novel therapies, effects on pulmonary pathology and disease progression are monitored by using histopathology images from these infected animals. T...

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Detalles Bibliográficos
Autores principales: Asay, Bryce C., Edwards, Blake Blue, Andrews, Jenna, Ramey, Michelle E., Richard, Jameson D., Podell, Brendan K., Gutiérrez, Juan F. Muñoz, Frank, Chad B., Magunda, Forgivemore, Robertson, Gregory T., Lyons, Michael, Ben-Hur, Asa, Lenaerts, Anne J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142129/
https://www.ncbi.nlm.nih.gov/pubmed/32269234
http://dx.doi.org/10.1038/s41598-020-62960-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142129/
https://www.ncbi.nlm.nih.gov/pubmed/32269234
http://dx.doi.org/10.1038/s41598-020-62960-6

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