matlab线条标记的代码-PixelClassification:GUI以像素分类分割对象

上传者: 38631729 | 上传时间: 2022-09-23 04:59:02 | 文件大小: 81.6MB | 文件类型: ZIP
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

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