Automated landmarking via multiple templates

Manually collecting landmarks for quantifying complex morphological phenotypes can be laborious and subject to intra and interobserver errors. However, most automated landmarking methods for efficiency and consistency fall short of landmarking highly variable samples due to the bias introduced by th...

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Bibliographic Details
Main Authors: Chi Zhang, Arthur Porto, Sara Rolfe, Altan Kocatulum, A. Murat Maga
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714854/?tool=EBI