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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...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
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| Egile Nagusiak: | , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2021
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8204587/ https://ncbi.nlm.nih.gov/pubmed/34130628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04245-x |
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