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Document type:
Zeitschriftenaufsatz 
Author(s):
Kazi, A.; Jiménez-Sánchez, A.; Albarqouni, S.; Kirchhoff, C.; sträter; Biberthaler, P.; Mateus, D.; Navab, N. 
Title:
Weakly-Supervised Localization and Classificationof Proximal Femur Fractures 
Abstract:
In this paper, we target the problem of fracture classification from clinical X-Ray images towards an automated Computer Aided Diagnosis (CAD) system. Although primarily dealing with an image classification problem, we argue that localizing the fracture in the image is crucial to make good class predictions. Therefore, we propose and thoroughly analyze several schemes for simultaneous fracture localization and classification. We show that using an auxiliary localization task, in general, improve...    »
 
Keywords:
Femur fracture classification,Attention model,Deep learning 
Journal title:
arXiv preprint arXiv:1809.10692 
Year:
2018