Hybrid curvature-geometrical detection of landmarks for the automatic analysis of the reduction of supracondylar fractures of the femur

  1. Negrillo-Cárdenas, J.
  2. Jiménez-Pérez, J.-R.
  3. Cañada-Oya, H.
  4. Feito, F.R.
  5. Delgado-Martínez, A.D.
Revue:
Computer Methods and Programs in Biomedicine

ISSN: 1872-7565,  0169-2607

Année de publication: 2022

Volumen: 226

Type: Article

DOI: 10.1016/J.CMPB.2022.107177 GOOGLE SCHOLAR

Objectifs de Développement Durable

La source de données: Scopus