The algorithm starts by computing a robust measure of tubular presence using a discriminative classifier at multiple image scales. The measure is then used in�...
The algorithm starts by computing a robust measure of tubular presence using a discriminative classifier at multiple image scales. The measure is then used in�...
A two-layer model which consists of a low-level likelihood measure and a high-level measure verifying tubular branches is presented which is robust to noise�...
Abstract. Detecting tubular structures such as airways or vessels in medical im- ages is important for diagnosis and surgical planning.
Detecting tubular structures such as airways or vessels in medical images is important for diagnosis and surgical planning. Many state-of-the-art approaches�...
Get details about the chapter of Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images from book Information Processing in�...
In this paper, we present a learning-based method for the detection and segmentation of 3D free-form tubular structures, such as the rectal tubes in CT�...
Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images. In: Proceedings of the 23rd International Conference On Information�...
Automatic coronary artery centerline extraction from 3D. CT Angiography (CTA) has significant clinical importance for diagnosis of atherosclerotic heart�...
"Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images" - similar Books and Chapters � Mechanics and Design of Tubular Structures.