Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration

Four major findings are obtained: (i) The WTP for urban park proximity is globally non-significant compared with that of forest areas; (ii) When forests are recreational

In this manuscript we have proposed a novel, incremental method for the automatic segmentation of the prostate, as well as that of its organs at risk (bladder and rectum), in the

Amit [154] presented two variational approaches for 2D image matching. In the rst case, the transformation was parametrized with respect to the Fourier basis, while in the second

The proposed framework for the mutual deformation of the images is applied to the group-wise registration problem as well as to an atlas-based population segmentation problem..

In this paper, we seek to build a parametric model learned from a training set and automatically perform a 3D reconstruction of the proximal femur based on available 2D information

Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images.. Sarah Parisot, Hugues Duffau, Stéphane Chemouny,

refined the result of an affine registration between a normal atlas and a patient’s image by using a coupled model that predicts the anisotropic evolution of the tumor as well as

The former cover a large spectrum of image pro- cessing problems including combined segmentation and reg- istration models (see references herein below); joint image reconstruction