This paper describes several text independent speech segmentation methods. State-of-the-art applications and the prospected use of automatic speech segmentation techniques are presented, including the direct applicability of automatic segmentation in recognition, coding and speech corpora annotation, which is a central issue in today’s speech technology. Moreover, a novel parametric segmentatio...

BACKGROUND Efficacy of reperfusion therapy can be assessed as myocardial salvage index (MSI) by determining the size of myocardium at risk (MaR) and myocardial infarction (MI), (MSI = 1-MI/MaR). Cardiovascular magnetic resonance (CMR) can be used to assess MI by late gadolinium enhancement (LGE) and MaR by either T2-weighted imaging or contrast enhanced SSFP (CE-SSFP). Automatic segmentation al...

In this work a proposal for automatic textual segmentation is described. The proposal uses the output of an automatic syntactic analyzer – Parser Palavras – to create textual segmentation. Parse trees are used to infer text segments and a dependency tree of the identified segments. The main contribution of this work is the use of the syntactic structure as source for the automatic segmentation ...

Automatic segmentation of brain structures is an important prerequisite for many applications in neuroscience. In this paper a fully automatic method for segmenting the caudate from 3D MRI brain images is presented. The method is based on multi-atlas registration which has shown to be a powerful concept for segmentation. The results show that the automatic segmentation is similar to segmentatio...

This thesis presents research and development of methods for automatic segmentation and quantitative evaluation of anatomical structures from medical images. An automatic segmentation algorithm is the foundation on which this framework stands, therefore a substantial part of the thesis concerns this subject. The segmentation methods focus on statistical voxel classification, using feature selec...

In this paper, automatic segmentation of parasitic speech sounds in speech corpora for text-to-speech (TTS) synthesis is presented. The automatic segmentation is, beside the automatic detection of the presence of such sounds in speech corpora, an important step in the precise localisation of parasitic sounds in speech corpora. The main goal of this study is to find out whether the segmentation ...

Division of the liver from figured computed tomography (CT) images is fundamental for greater part PC supported clinical applications, instance, arranging period a transfer, volume assessment, and radiotherapy. In this paper, programmed location model CT filters utilizing profound semantic division convolutional neural organization will be introduced, actually want to subsequently isolate image...

This paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. GrabCut is considered as one of the semiautomatic image segmentation techniques, since it requires user interaction for the initialization of the segmentation process. The automation of the GrabCut technique is proposed as a modifica...