Lego – Building a European Concept of Functionality

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Regional Products in the Central and Eastern European Countries that Acceded to the European Union in May 2004

This article presents the activities of the Central European countries which are members of the EU since 2004 in their registration of regional products. The presented data shows how many products were registered within each group of products, protected by the marks: Protected Designation of Origin, Protected Geographical Indication, and Traditional Speciality Guaranteed. Verification of the statistical data allows for analysis concerning the product class, as defined in the EU directivesArtykuł prezentuje aktywność państw środkowoeuropejskich, będących członkami UE od 2004 roku, w zakresie rejestracji produktów regionalnych. Prezentowane dane pozwalają stwierdzić ile produktów rejestrowanych jest w grupie PDO, PGI oraz TSG. Weryfikacja danych statystycznych pozwala również na prezentację informacji, z jakich klas produktowych, określonych w dyrektywach unijnych, pochodzą opisywane produkt

Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies

Multi-atlas segmentation is a widely used tool in medical image analysis, providing robust and accurate results by learning from annotated atlas datasets. However, the availability of fully annotated atlas images for training is limited due to the time required for the labelling task. Segmentation methods requiring only a proportion of each atlas image to be labelled could therefore reduce the workload on expert raters tasked with annotating atlas images. To address this issue, we first re-examine the labelling problem common in many existing approaches and formulate its solution in terms of a Markov Random Field energy minimisation problem on a graph connecting atlases and the target image. This provides a unifying framework for multi-atlas segmentation. We then show how modifications in the graph configuration of the proposed framework enable the use of partially annotated atlas images and investigate different partial annotation strategies. The proposed method was evaluated on two Magnetic Resonance Imaging (MRI) datasets for hippocampal and cardiac segmentation. Experiments were performed aimed at (1) recreating existing segmentation techniques with the proposed framework and (2) demonstrating the potential of employing sparsely annotated atlas data for multi-atlas segmentation

Quantification of the Individual Characterstics of the Human Dentition: Methodology

This study provides a method for comparing six individual human dentition characteristics using the standard measuring tool in Adobe Photoshop CS2 as compared to measuring individual characteristics with an automated software program under development at Marquette University, which has been adapted for bitemark analysis. The algorithm identifies color-specific pixels and automatically calculates the measurements