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Document type:
Zeitschriftenaufsatz 
Author(s):
jimenez-sanchez; Kazi, A.; Albarqouni, S.; kirchhoff; Biberthaler, P.; Navab, N.; kirchhoff; Mateus, D. 
Title:
Precise proximal femur fracture classification for interactive training and surgical planning 
Abstract:
Purpose: Demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray images according to the AO classification. The proposed framework aims to improve patient treatment planning and provide support for the training of trauma surgeon residents. Material and methods: A database of 1347 clinical radiographic studies was collected. Radiologists and trauma surgeons annotated all fractu...    »
 
Keywords:
CAMP,Bone fracture,Computer-aided diagnosis,Deep learning,Interactive training,Radiology,Surgical planning 
Journal title:
International journal of computer assisted radiology and surgery 
Year:
2020 
Journal volume:
15 
Journal issue:
Pages contribution:
847--857 
Publisher:
Springer