Now showing items 1-2 of 2
Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach
(Springer Berlin Heidelberg, 2010)
In this paper, a new methodology for the prediction of scoliosis curve types from non invasive acquisitions of the back surface of the trunk is proposed. One hundred and fifty-nine scoliosis patients had their back surface ...
Articulated Model Registration of MRI/X-Ray Spine Data
(Springer Berlin Heidelberg, 2010-06)
This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete ...