matlab线条标记的代码-PixelClassification:GUI以像素分类分割对象
matlab线条标记的代码此代码与
系统水平的研究揭示了人类细胞中无膜细胞器的调节剂
由Doris
Berchtold，Nico
Battich和Lucas
Pelkmans撰写。
发表于Molecular
Cell：2018年11月29日。DOI：
依存关系
ClassifyPixels.m及其支持功能已在Windows和MATLAB
2014a上进行了测试。
数据集示例
该示例数据集包括10个拼接斑点图像的未干扰细胞图像，这些图像已被针对SRRM2的抗体染色（在TIFF中），一个测量文件，用于校正这些图像的照明不均，以及细胞和细胞核的分割（在SEGMENTATION中）。
为了进行比较，文件夹segmented_splicing_speckles包含通过屏幕上训练的模型获得的拼接斑点的分段。
如何使用ClassifyPixels
GUI训练细分模型并将其应用于示例数据集
在Windows计算机上启动MATLAB
2014a
将文件夹PixelClassification添加到您的MATLAB路径
打开CreateSettingsFile.m并运行
通过在MATLAB命令行中键入Cl
文件下载
资源详情
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