BACKGROUND AND OBJECTIVES Our study developed a fully automated method for segmentation and volumetric measurements of kidneys from magnetic resonance images in patients with autosomal dominant polycystic kidney disease and assessed the performance of the automated method with the reference manual segmentation method. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Study patients were selected ...

OBJECTIVE Various methods for radiation-dose calculation have been investigated over previous decades, focusing on the use of magnetic resonance imaging (MRI) only. The bulk-density-assignment method based on manual segmentation has exhibited promising results compared to dose-calculation with computed tomography (CT). However, this method cannot be easily implemented in clinical practice due t...

Despite several decades of research into segmentation techniques, automated medical image segmentation is barely usable in a clinical context, and still at vast user time expense. This paper illustrates unsupervised organ segmentation through the use of a novel automated labelling approximation algorithm followed by a hypersurface front propagation method. The approximation stage relies on a pr...

The goal of the study was to determine which similarity coefficient and statistical method to use to produce the highest rate of correct assignment (RCA) in repetitive extragenic palindromic PCR-based bacterial source tracking. In addition, the use of standards for deciding whether to accept or reject source assignments was investigated. The use of curve-based coefficients Cosine Coefficient an...

This paper presents a Prefix Tree based model of Generation of Referring Expression (RE). Our algorithm PTBSGRE works in two phases. First, an encoded prefix tree is constructed describing the domain structure. Subsequently, RE is generated using that structure. We evaluated our system using Dice, MASI, Accuracy, Minimality and Uniqueness scoring method using standard TEVAl tool and the result ...

We participated in both the single-document and multi-document summarization tasks at the TSC 2002. We have incorporated two modules into our earlier summarization system, which is based on a sentenceextraction technique, so that we could apply the system to the multi-document summarization task. One is a module to categorize document sets and the other is to estimate the similarity between sen...

PURPOSE Hippocampal sclerosis, a common cause of refractory focal epilepsy, requires hippocampal volumetry for accurate diagnosis and surgical planning. Manual segmentation is time-consuming and subject to interrater/intrarater variability. Automated algorithms perform poorly in patients with temporal lobe epilepsy. We validate and make freely available online a novel automated method. METHOD...

BACKGROUND Visualization of Concepts in Medicine (VCM) is a compositional iconic language that aims to ease information retrieval in Electronic Health Records (EHR), clinical guidelines or other medical documents. Using VCM language in medical applications requires alignment with medical reference terminologies. Alignment from Medical Subject Headings (MeSH) thesaurus and International Classifi...