The Library
A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes
Tools
Tools
Tools
Abdelsamea, Mohammed M. (2016) A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes. Journal of Visual Communication and Image Representation, 41 . pp. 314-323. doi:10.1016/j.jvcir.2016.10.011 ISSN 1047-3203.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1016/j.jvcir.2016.10.011
Abstract
Caenorhabditis elegans shares several molecular and physiological homologies with humans and thus plays a key role in studying biological processes. As a consequence, much progress has been made in automating the analysis of C. elegans. However, there is still a strong need to achieve more progress in automating the analysis of static images of adult worms. In this paper, a three-phase semi-automated system has been proposed. As a first phase, a novel segmentation framework, based on variational level sets and local pressure force function, has been introduced to handle effectively images corrupted with intensity inhomogeneity. Then, a set of robust invariant symbolic features for high-throughput screening of image-based C. elegans phenotypes are extracted. Finally, a classification model is applied to discriminate between the different subsets. The proposed system demonstrates its effectiveness in measuring morphological phenotypes in individual worms of C. elegans.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences > Cell & Developmental Biology Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
||||||||
| Journal or Publication Title: | Journal of Visual Communication and Image Representation | ||||||||
| Publisher: | Academic Press Inc Elsevier Science | ||||||||
| ISSN: | 1047-3203 | ||||||||
| Official Date: | November 2016 | ||||||||
| Dates: |
|
||||||||
| Volume: | 41 | ||||||||
| Page Range: | pp. 314-323 | ||||||||
| DOI: | 10.1016/j.jvcir.2016.10.011 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
