Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images
Abstract 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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-06-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-021-04245-x |