A framework for feedback-based segmentation of 3D image stacks
3D segmentation has become a widely used technique. However, automatic segmentation does not deliver high accuracy in optically dense images and manual segmentation lowers the throughput drastically. Therefore, we present a workflow for 3D segmentation being able to forecast segments based on a user...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2016-09-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2016-0097 |