Search Results for author:
Found 2 papers, 0 papers with code
Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
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.
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN
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).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
