Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening

Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction of toxicity based on nucleus pattern recognition....

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Detalles Bibliográficos
Autores principales: Jimenez-Carretero, Daniel, Abrishami, Vahid, Fernández-de-Manuel, Laura, Palacios, Irene, Quílez-Álvarez, Antonio, Díez-Sánchez, Alberto, del Pozo, Miguel A., Montoya, María C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291153/
https://www.ncbi.nlm.nih.gov/pubmed/30500821
http://dx.doi.org/10.1371/journal.pcbi.1006238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291153/
https://www.ncbi.nlm.nih.gov/pubmed/30500821
http://dx.doi.org/10.1371/journal.pcbi.1006238

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