Automatic and semi-automatic magnetic resonance angiog-raphy (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segmentation and can facilitate further data analysis. The proposed MRA segmentation method uses a mathematical modeling technique which is well-suited to the complicated curve-like structure of blood vessels. We deene the segment...

This paper is concerned with automatic classification of broadcast news stories based on speaker roles such as anchor, reporter and others. The story classification is the first step for many related tasks such as browsing, indexing, and summarising the news broadcast. We use broadcast news audio and its automatic speech recogniser transcripts to implement the classification system. It builds o...

We present a new method to segment popular music based on rhythm. By computing a shortest path based on the self-similarity matrix calculated from a model of rhythm, segmenting boundaries are found along the diagonal of the matrix. The cost of a new segment is optimized by matching manual and automatic segment boundaries. We compile a small song database of 21 randomly selected popular Chinese ...

This study was to evaluate the accuracy, consistency, and efficiency of three liver volumetry methods- one interactive method, an in-house-developed 3D medical Image Analysis (3DMIA) system, one automatic active shape model (ASM)-based segmentation, and one automatic probabilistic atlas (PA)-guided segmentation method on clinical contrast-enhanced CT images. Forty-two datasets, including 27 nor...

Karyotype analysis is a widespread procedure in cytogenetics to assess the possible presence of genetics defects. The procedure is lengthy and repetitive, so that an automatic analysis would greatly help the cytogeneticist routine work. Still, automatic segmentation and full disentangling of chromosomes are open issues. The first step in every automatic procedure, is the segmentation of the chr...

The segmentation of macroscopically ill-defined and highly variable structures, such as the hippocampus Hc and the amygdala Am, from MRI requires specific constraints. Here, we describe and evaluate a hybrid segmentation method that uses knowledge derived from a probabilistic atlas and from anatomical landmarks based on stable anatomical characteristics of the structures. Combined in a previous...

Automatic medical image segmentation is an unsolved problem that has captured the attention of many researchers. The purpose of this survey is to identify a representative set of methods that have been used for automatic medical image segmentation over the past 35 years and to provide an opportunity to view the transitions that have occurred as this research area has developed. To facilitate th...

computer-aided diagnosis (cad) systems can assist radiologists in several diagnostic tasks.  lung segmentation is one of the mandatory steps for initial detection of lung cancer in posterior-anterior chest radiographs. on the other hand, many cad schemes in projection chest radiography may benefit from the suppression of the bony structures that overlay the lung fields, e.g. ribs. the original ...