pyKNEEr - Demo Images
收藏Mendeley Data2024-05-10 更新2024-06-30 收录
下载链接:
https://zenodo.org/records/3820248
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资源简介:
Demo images to get familiar with pyKNEEr: https://sbonaretti.github.io/pyKNEEr/ --------------------------- Version 4: - Added licenses to notebooks --------------------------- Version 3: - Added sliders in the notebooks for preprocessing, segmentation, and relaxometry --------------------------- Version 2: - Minor changes: Improved print out of dependences; Changed names of Jupyter notebooks for segmentation (change needed for future releases); Added missing title "Intensity Preprocessing" in preprocessing.ipynb; Variables changed from name1.name2 to name1_name2 in .csv files --------------------------- Version 1: Contains: - Input: Folder with the demo images to get familiar with pyKNEEr - Output: Folder with the outputs of the demo, to compare your findings with ours
用于熟悉pyKNEEr的演示图像:https://sbonaretti.github.io/pyKNEEr/
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版本4:
- 为所有笔记本添加了许可证声明
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版本3:
- 在笔记本中新增了用于预处理、分割及弛豫测量的滑块控件
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版本2:
- 小幅更新内容如下:
1. 优化了依赖项的打印输出格式
2. 修改了分割用Jupyter笔记本(Jupyter Notebook)的命名(该调整适配未来版本迭代需求)
3. 在preprocessing.ipynb文件中补全了「强度预处理」标题
4. 将逗号分隔值(CSV)文件中的变量命名格式从`name1.name2`调整为`name1_name2`
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版本1:
包含内容如下:
- 输入文件夹:存储供用户熟悉pyKNEEr的演示图像
- 输出文件夹:存储本次演示的运行结果,方便用户将自身生成的结果与官方示例进行比对
创建时间:
2023-06-28



