Generalising from conventional pipelines using deep learning in high-throughput screening workflows

The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality of the results relies on the accuracy of the image analysis. Although state-of-the-art solution...

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Detalles Bibliográficos
Autores principales: Garcia Santa Cruz, Beatriz, Slter, Jan, Gomez-Giro, Gemma, Saraiva, Claudia, Sabate-Soler, Sonia, Modamio, Jennifer, Barmpa, Kyriaki, Schwamborn, Jens Christian, Hertel, Frank, Jarazo, Javier, Husch, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259641/
https://www.ncbi.nlm.nih.gov/pubmed/35794231
http://dx.doi.org/10.1038/s41598-022-15623-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259641/
https://www.ncbi.nlm.nih.gov/pubmed/35794231
http://dx.doi.org/10.1038/s41598-022-15623-7

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