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Document type:
Konferenzbeitrag 
Author(s):
Kazi, A.; Albarqouni, S.; Sanchez, A.; Kirchhoff, C.; Biberthaler, P.; Navab, N.; Mateus, D. 
Title:
Automatic Classification of Proximal Femur Fractures based on Attention Models 
Abstract:
We target the automatic classication of fractures from clinical X-Ray images following the Arbeitsgemeinschaft Osteosynthese (AO) classication standard. We decompose the problem into the localisation of the region-of-interest (ROI) and the classication of the localized region. Our solution relies on current advances in multi-task end-to-end deep learning. More specially, we adapt an attention model known as Spatial Transformer to learn an image-dependent localization of the ROI trained only from...    »
 
Keywords:
MICCAI,CAMP,MLMI,deeplearning 
Book / Congress title:
International Workshop on Machine Learning in Medical Imaging 
Organization:
Springer 
Year:
2017 
Pages:
70--78