Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review

BACKGROUND: Predicting morphological changes to anatomical structures from 3D shapes such as blood vessels or appearance of the face is a growing interest to clinicians. Machine learning (ML) has had great success driving predictions in 2D, however, methods suitable for 3D shapes are unclear and the...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Joyce Zhanzi, Lillia, Jonathon, Kumar, Ashnil, Bray, Paula, Kim, Jinman, Burns, Joshua, Cheng, Tegan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575250/
https://www.ncbi.nlm.nih.gov/pubmed/36253726
http://dx.doi.org/10.1186/s12859-022-04979-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575250/
https://www.ncbi.nlm.nih.gov/pubmed/36253726
http://dx.doi.org/10.1186/s12859-022-04979-2

Ejemplares similares