Rotation equivariant and invariant neural networks for microscopy image analysis

MOTIVATION: Neural networks have been widely used to analyze high-throughput microscopy images. However, the performance of neural networks can be significantly improved by encoding known invariance for particular tasks. Highly relevant to the goal of automated cell phenotyping from microscopy image...

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Detalles Bibliográficos
Autores principales: Chidester, Benjamin, Zhou, Tianming, Do, Minh N, Ma, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612823/
https://www.ncbi.nlm.nih.gov/pubmed/31510662
http://dx.doi.org/10.1093/bioinformatics/btz353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612823/
https://www.ncbi.nlm.nih.gov/pubmed/31510662
http://dx.doi.org/10.1093/bioinformatics/btz353

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