Learning spatiotemporal statistical shape models for non-linear dynamic anatomies

Numerous clinical investigations require understanding changes in anatomical shape over time, such as in dynamic organ cycle characterization or longitudinal analyses (e.g., for disease progression). Spatiotemporal statistical shape modeling (SSM) allows for quantifying and evaluating dynamic shape...

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Detalles Bibliográficos
Autores principales: Adams, Jadie, Khan, Nawazish, Morris, Alan, Elhabian, Shireen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911425/
https://www.ncbi.nlm.nih.gov/pubmed/36777257
http://dx.doi.org/10.3389/fbioe.2023.1086234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911425/
https://www.ncbi.nlm.nih.gov/pubmed/36777257
http://dx.doi.org/10.3389/fbioe.2023.1086234

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