no code implementations • 7 Jul 2021 • Alireza Asvadi, Guillaume Dardenne, Jocelyne Troccaz, Valerie Burdin
The aim of this research is therefore to assess the impact of the number, the position, and the accuracy of the landmarks for the reconstruction of the femur and the determination of its related mechanical axis, an important clinical parameter to consider for the lower limb analysis.
no code implementations • 23 Jul 2020 • Chunxia Qin, Xiaojun Chen, Jocelyne Troccaz
To address this problem, we proposed a weakly supervised registration-based framework for the precise prostate segmentation, by combining convolutional neural network (CNN) with statistical shape model (SSM).