Classifying and segmenting microscopy images with deep multiple instance learning

Motivation: High-content screening (HCS) technologies have enabled large scale imaging experiments for studying cell biology and for drug screening. These systems produce hundreds of thousands of microscopy images per day and their utility depends on automated image analysis. Recently, deep learning...

Descripción completa

Detalles Bibliográficos
Autores principales: Kraus, Oren Z., Ba, Jimmy Lei, Frey, Brendan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908336/
https://www.ncbi.nlm.nih.gov/pubmed/27307644
http://dx.doi.org/10.1093/bioinformatics/btw252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908336/
https://www.ncbi.nlm.nih.gov/pubmed/27307644
http://dx.doi.org/10.1093/bioinformatics/btw252

Ejemplares similares