• No se han encontrado resultados

A methodology for peripheral nerve segmentation using a multiple annotators approach based on Centered Kernel Alignment

N/A
N/A
Protected

Academic year: 2020

Share "A methodology for peripheral nerve segmentation using a multiple annotators approach based on Centered Kernel Alignment"

Copied!
61
0
0

Texto completo

Loading

Figure

Figure 1.1: Segmentation example for an image with size 3 × 3. The cost of each edge is represented by the thickness of the edge.
Figure 1.4: Inverse Discrete Wavelet Transform using a polyphase representation
Figure 1.5: Lifting schemes using the operators P y U .
Figure 1.6 shows the blocks diagram for Adaptive primal lifting scheme.
+7

Referencias

Documento similar

In this way, a powerful method following that methodology and being based on circuit theory, is the so-called Network Simulation Method (NSM), a numerical approach applied to

In this context, an alternative approach for on-line optimal maintenance management is proposed, based also on plant data rather than only on the decaying performance model..

The study is based on a dual quantitative methodology (panel data analysis + Granger causality) and analyzes the valuations of 30 selected protocols representing three different

Then, four measures based on color and motion are selected and examined in detail with different segmentation algorithms and standard test sequences for video object

A numerical methodology based on a 2.5D FEM-BEM approach and on the semi- analytical solutions of a cavity in a full-space for the computation of the vibration energy flow in the

The proposed authentication system with protected tem- plates is based on the on-line signature verification sys- tem presented in [16], where a function-based approach is employed

Clustering based region growing algorithm for color image segmentation.. Color image segmentation based on graph minimisation,

The cluster thus generated based just on drug susceptibility data closely resembles the phylogenies of the lineages derived from genetic data and provides a novel approach to