English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In this paper we present, evaluate, and discuss two multi- scale schemes for modelling grey-level appearance in a deformable model for the segmentation of abdominal aortic aneurysm thrombus from CT angiography scans. The methods are initialised with the lumen bound- ary, and the image-based deformation force is based on a non-parametric statistical grey level model built from training data obtained at multi- ple scales. The image force direction and magnitude are based on a flt between the trained model and the data. Two multi-scale schemes are used for deformation. In one scheme, the boundary is progressively re- flned based on training data obtained at each scale, in a coarse-to-flne approach, and in the other, the training data obtained at all scales are used simultaneously to drive the deformation. The two schemes are eval- uated and compared to the single scale scheme based on a leave-one-out study of nine patients.

Multi-scale Statistical Grey Value Modelling for Thrombus Segmentation from CTA