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DOI :
10.3791/56162-v
•
11:38 min
August 23rd, 2017
Chapters
0:05
Title
0:53
Preparing the Workplace, Data Representation, and Generating Appropriate Super-regions
3:19
Introduction to Annotation
4:12
Segmentation Using Model Training
5:41
Segmentation Using Super-regions
6:42
Classifiction and Analysis of Data Objects Based on Inherent Characteristics
9:00
Results: Model Training, Super-region Segmentation, and Label Splitting Using the SuRVoS Workbench
10:55
Conclusion
从许多成像技术中分割三维数据是复杂生物系统分析的一个主要瓶颈。在这里, 我们描述了使用 SuRVoS 工作台, 以半自动段体积数据在不同长度尺度使用的例子数据集从低温电子断层扫描, 低温软 x 射线断层扫描, 和相衬 x 射线断层扫描技术。
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