Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images

BACKGROUND: Automated segmentation of nuclei in microscopic images has been conducted to enhance throughput in pathological diagnostics and biological research. Segmentation accuracy and speed has been significantly enhanced with the advent of convolutional neural networks. A barrier in the broad ap...

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Detalles Bibliográficos
Autores principales: Mela, Christopher A., Liu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204587/
https://www.ncbi.nlm.nih.gov/pubmed/34130628
http://dx.doi.org/10.1186/s12859-021-04245-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204587/
https://www.ncbi.nlm.nih.gov/pubmed/34130628
http://dx.doi.org/10.1186/s12859-021-04245-x

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