Title
SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristem
Abstract
The quantitative analysis of 3D confocal microscopy images of the shoot apical meristem helps understanding the growth process of some plants. Cell segmentation in these images is crucial for computational plant analysis and many automated methods have been proposed. However, variations in signal intensity across the image mitigate the effectiveness of those approaches with no easy way for user correction. We propose a web-based collaborative 3D image segmentation application, SEGMENT3D, to leverage automatic segmentation results. The image is divided into 3D tiles that can be either segmented interactively from scratch or corrected from a pre-existing segmentation. Individual segmentation results per tile are then automatically merged via consensus analysis and then stitched to complete the segmentation for the entire image stack. SEGMENT3D is a comprehensive application that can be applied to other 3D imaging modalities and general objects. It also provides an easy way to create supervised data to advance segmentation using machine learning models.
Year
DOI
Venue
2018
10.1109/ISBI.2018.8363600
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Keywords
DocType
Volume
3D Image Segmentation,Shoot Apical Meristem,Web-based Tool,Collaborative Segmentation,Confocal Microscopy
Conference
abs/1710.09933
ISSN
ISBN
Citations 
1945-7928
978-1-5386-3637-4
0
PageRank 
References 
Authors
0.34
5
5
Name
Order
Citations
PageRank
Thiago Vallin Spina1457.32
Johannes Stegmaier2369.21
Alexandre X. Falcão31877132.30
Elliot M Meyerowitz45511.09
Alexandre Cunha521.04