Active graph matching for automatic joint segmentation and annotation of C. elegans

TitleActive graph matching for automatic joint segmentation and annotation of C. elegans
Publication TypeConference Paper
Year of Publication2014
AuthorsKainmueller, D, Jug, F, Rother, C, Myers, G
Conference NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN Number9783319104034
Abstract

In this work we present a novel technique we term active graph matching, which integrates the popular active shape model into a sparse graph matching problem. This way we are able to combine the benefits of a global, statistical deformation model with the benefits of a local deformation model in form of a second-order random field. We present a new iterative energy minimization technique which achieves empirically good results. This enables us to exceed state-of-the art results for the task of annotating nuclei in 3D microscopic images of C. elegans. Furthermore with the help of the generalized Hough transform we are able to jointly segment and annotate a large set of nuclei in a fully automatic fashion for the first time. © 2014 Springer International Publishing.

DOI10.1007/978-3-319-10404-1_11
Citation KeyKainmueller2014