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| 基于U-net网络的细胞核检测方法 |
| Cell detection method based on U-net network |
| 投稿时间:2020-09-21 |
| DOI:10.3969/j.issn.1005-5630.2021.01.001 |
| 中文关键词: 神经网络 图像处理 细胞核检测 |
| 英文关键词:neural network image processing nuclear detection |
| 基金项目: |
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| 摘要点击次数: 2642 |
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| 中文摘要: |
| 为节省时间和研究人员的精力,采用计算机辅助对细胞或细胞核进行检测。利用卷积神经网络的U-net衍生网络并结合图像处理过程开展对细胞核的检测。研究结果表明,该检测方法的检测精确度为0.82,召回率为0.83,F指标为0.83,具有较好的识别和分割效果。 |
| 英文摘要: |
| In order to save time and researchers' energy, computers are used to assist in the detection of cells or nuclei. In this paper, a derivative network U-net of convolution neural network is combined with image processing to detect nucleus. The result shows that the accuracy is 0.82, the recall rate is 0.83, and the F index is 0.83, which has good recognition and segmentation effect. |
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