Towards pixel-to-pixel deep nucleus detection in microscopy images

BACKGROUND: Nucleus is a fundamental task in microscopy image analysis and supports many other quantitative studies such as object counting, segmentation, tracking, etc. Deep neural networks are emerging as a powerful tool for biomedical image computing; in particular, convolutional neural networks...

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Detalles Bibliográficos
Autores principales: Xing, Fuyong, Xie, Yuanpu, Shi, Xiaoshuang, Chen, Pingjun, Zhang, Zizhao, Yang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744696/
https://www.ncbi.nlm.nih.gov/pubmed/31521104
http://dx.doi.org/10.1186/s12859-019-3037-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744696/
https://www.ncbi.nlm.nih.gov/pubmed/31521104
http://dx.doi.org/10.1186/s12859-019-3037-5

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