Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach.
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ABSTRACT:
SUBMITTER: Vandaele R
PROVIDER: S-EPMC5765108 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Publications
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach.
Vandaele Rémy R Aceto Jessica J Muller Marc M Péronnet Frédérique F Debat Vincent V Wang Ching-Wei CW Huang Cheng-Ta CT Jodogne Sébastien S Martinive Philippe P Geurts Pierre P Marée Raphaël R
Scientific reports 20180111 1
The detection of anatomical landmarks in bioimages is a necessary but tedious step for geometric morphometrics studies in many research domains. We propose variants of a multi-resolution tree-based approach to speed-up the detection of landmarks in bioimages. We extensively evaluate our method variants on three different datasets (cephalometric, zebrafish, and drosophila images). We identify the key method parameters (notably the multi-resolution) and report results with respect to human ground ...[more]
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