User: Guest  Login
Document type:
Zeitschriftenaufsatz 
Author(s):
Jiménez-Sánchez, A.; Kazi, A.; Albarqouni, S.; Kirchhoff, C.; biberthaler; navab; Mateus, D.; Kirchhoff, C. 
Title:
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification 
Abstract:
Fractures of the proximal femur represent a critical entity in the western world, particularly with the growingelderly population. Such fractures result in high morbidity and mortality, reflecting a significant health an economic impact on our society. Different treatment strategies are recommended for different fracture types, with surgical treatment still being the gold standard in most of the cases. The success of the treatment and prognosis after surgery strongly depends on an accurate cla...    »
 
Keywords:
Deep learning,Femur fracture classification 
Journal title:
International journal of computer assisted radiology and surgery 
Year:
2019 
Journal volume:
15 
Journal issue:
Pages contribution:
847--857 
Publisher:
Springer