Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches

OBJECTIVES: This study aims to detect frontal pelvic radiograph femoral neck fracture using deep learning techniques. PATIENTS AND METHODS: This retrospective study was conducted between January 2013 and January 2018. A total of 234 frontal pelvic X-ray images collected from 65 patients (32 males, 3...

Descripción completa

Detalles Bibliográficos
Autores principales: Beyaz, Salih, Açıcı, Koray, Sümer, Emre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bayçınar Medical Publishing 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7489171/
https://www.ncbi.nlm.nih.gov/pubmed/32584712
http://dx.doi.org/10.5606/ehc.2020.72163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7489171/
https://www.ncbi.nlm.nih.gov/pubmed/32584712
http://dx.doi.org/10.5606/ehc.2020.72163

Ejemplares similares