On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology.

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Title: On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology.
Authors: Lee MT; UCL Mechanical Engineering, University College of London, London, United Kingdom., Martorana V; Department of Economics Management, and Statistics, University of Palermo, Palermo, Italy., Md RI; UCL Medical Physics and Biomedical Engineering, University College of London, London, United Kingdom., Sivera R; UCL Institute of Cardiovascular Science, University College of London, London, United Kingdom., Cook AC; UCL Institute of Cardiovascular Science, University College of London, London, United Kingdom., Menezes L; Biomedical Research Centre, National Institute for Health and Care Research, University College London Hospitals, London, United Kingdom., Burriesci G; UCL Mechanical Engineering, University College of London, London, United Kingdom.; Bioengineering Group, Ri.MED Foundation, Palermo, Italy., Torii R; UCL Mechanical Engineering, University College of London, London, United Kingdom., Bosi GM; UCL Mechanical Engineering, University College of London, London, United Kingdom.
Source: Frontiers in network physiology [Front Netw Physiol] 2024 Oct 10; Vol. 4, pp. 1467180. Date of Electronic Publication: 2024 Oct 10 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918334487406676 Publication Model: eCollection Cited Medium: Internet ISSN: 2674-0109 (Electronic) Linking ISSN: 26740109 NLM ISO Abbreviation: Front Netw Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2674-0109
DOI:10.3389/fnetp.2024.1467180