Literature DB >> 31056036

Geometric morphometrics aided by machine learning in craniofacial surgery.

Lara S van de Lande1,2, Athanasios Papaioannou2,3, David J Dunaway1,2.   

Abstract

Geometric morphometrics aided by machine learning provide detailed and accurate statistical models of facial form. They promise to be extremely effective tools in surgical planning and assessment; however, a clinical tool to use this information is still to be created.

Keywords:  Large Scale Face Model; craniofacial surgery; morphometrics; statistical shape modelling

Mesh:

Year:  2019        PMID: 31056036     DOI: 10.1177/1465312519840030

Source DB:  PubMed          Journal:  J Orthod        ISSN: 1465-3125


  2 in total

1.  Cranio-maxillofacial post-operative face prediction by deep spatial multiband VGG-NET CNN.

Authors:  Rizwan Ali; Rui Lei; Haifei Shi; Jinghong Xu
Journal:  Am J Transl Res       Date:  2022-04-15       Impact factor: 3.940

2.  What you sample is what you get: ecomorphological variation in Trithemis (Odonata, Libellulidae) dragonfly wings reconsidered.

Authors:  Norman MacLeod; Benjamin Price; Zackary Stevens
Journal:  BMC Ecol Evol       Date:  2022-04-11
  2 in total

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