background access to appropriate images of fetal brain can greatly assist to diagnose of probable abnormalities. the aim of this study was to compare the suitability of t2-true fast imaging with steady state free precession (t2-trufi), and t2-half-fourier acquisition single-shot turbo spin-echo (t2- haste( magnetic resonance imaging (mri) to extract the fetal brain using the level set algorithm...

Ordered sets of documents are encountered more and more in information distribution systems, such as information retrieval systems (IRS). Classical similarity measures for ordinary sets of documents hence need to be extended to these ordered sets. This is done in this paper using fuzzy set techniques. First a general similarity measure is developed which contains the classical strong similarity...

The goal of this study was to characterize the structure of two natural populations of the coral tree using RAPD and ISSR markers. The study evaluated all individuals in two different areas in the northeastern region of Brazil: the first was in the riparian area, 10 km x 100 m along the edge of the lower São Francisco River, and the second was in the municipality of Pinhão, in a semiarid region...

The main challenge of extractive-base text summarization is in selecting the top representative sentences from the input document. Several techniques were proposed to enhance the process of selection such as feature-base, cluster-base, and graph-base methods. Basically, this paper proposed to enhance a previous work, and provides some limitations in the similarity calculation of that previous w...

Background Access to appropriate images of fetal brain can greatly assist to diagnose of probable abnormalities. The aim of this study was to compare the suitability of T2-True Fast Imaging with Steady State Free Precession (T2-TRUFI), and T2-Half-Fourier Acquisition Single-Shot Turbo Spin-Echo (T2- HASTE( magnetic resonance imaging (MRI) to extract the fetal brain using the level set algorithm...

The extraction of consensus segmentations from several binary or probabilistic masks is important to solve various tasks such as the analysis inter-rater variability fusion neural network outputs. One most widely used method obtain a segmentation STAPLE algorithm. In this paper, we first demonstrate that output algorithm heavily impacted by background size images and choice prior. We then propo...

This paper describes a coreference annotation scheme, coreference annotation specific issues and their solutions through our proposed annotation scheme for Hindi. We introduce different co-reference relation types between continuous mentions of the same coreference chain such as ‘Part-of’, ‘Function-value pair’ etc. We used Jaccard similarity based Krippendorff‘s’ alpha to demonstrate consisten...

Our purpose in this study is to develop a scheme to segment the rectus abdominis muscle region in X-ray CT images. We propose a new muscle recognition method based on the shape model. In this method, three steps are included in the segmentation process. The first is to generate a shape model for representing the rectus abdominis muscle. The second is to recognize anatomical feature points corre...