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ALPACA: A fast and accurate computer vision approach for automated landmarking of three‐dimensional biological structures

  • Published:2021-08-09 Issue:11 Volume:12 Page:2129-2144
  • ISSN:2041-210X
  • Container-title:Methods in Ecology and Evolution
  • language:en
  • Short-container-title:Methods Ecol Evol

Author:

Porto Arthur12ORCID,Rolfe Sara34,Maga A. Murat45ORCID

Affiliation:

1. Department of Biological Sciences Louisiana State University Baton Rouge LA USA

2. Center for Computation and Technology Louisiana State University Baton Rouge LA USA

3. Friday Harbor Laboratories University of Washington San Juan Island WA USA

4. Center for Development Biology and Regenerative Medicine Seattle Children's Research Institute Seattle WA USA

5. Division of Craniofacial Medicine Department of Pediatrics University of Washington Seattle WA USA

Funder

National Institute of Dental and Craniofacial Research

National Science Foundation

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Reference43 articles.

1. A new method for non‐parametric multivariate analysis of variance;Anderson M. J.;Austral Ecology,2001

2. A Practical Guide to Sliding and Surface Semilandmarks in Morphometric Analyses

3. Algorithms to automatically quantify the geometric similarity of anatomical surfaces

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