We propose an attention mechanism for 3D medical image segmentation. The method, named segmentation-bydetection, is a cascade of a detection module followed by a segmentation module. The detection module enables a region of interest to come to attention and produces a set of object region candidates which are further used as an attention model. Rather than dealing with the entire volume, the se...

We propose a framework for investigating the properties of apparently normal tissues on brain structural magnetic resonance images of patients with small vessel disease (SVD). It involves the extraction of textural features in regions of interest (ROIs) obtained from an anatomically-relevant template, combined with a statistical analysis that considers the relative distribution of SVD markers (...

Medication adherence is one of the major challenges for healthcare professionals and patients. Lack of medication adherence leads to worse medical treatment outcomes, higher hospitalization rates, and increased health care costs. For years, numerous interventions have been tried with mixed success. In this paper, we present an intervention for medication adherence based on rewards and punishmen...

The invention relates to the field of computerized generation of a visualization from a plurality of images. In particular, the invention relates to generating a three-dimensional (3D) visu alization from a plurality of two-dimensional (2D) medical images. The images may be obtained from an ultrasound device. Regions of interest are segmented in at least two images and the region of interest is...

We describe our implementation of a parallel depth recovery scheme for a four-camera multibaseline stereo in a convergent configuration. Our system is capable of image capture at video rate. This is critical in applications that require three-dimensional tracking. We obtain dense stereo depth data by projecting a light pattern of frequency modulated sinusoidally varying intensity onto the scene...

This study uses Blob Analysis technique to optimize Gaussian Mixture Model method performance in detecting and counting cars and motorcycles under heavy traffic conditions. It is profound that by optimizing the minimum and maximum blob area in order to obtain proper blob size from a video image’s region of interest will also improve the accuracy of system. The result shows that appropriate para...

Given a set of symmetric/antisymmetric filter vectors containing only regular multiresolution filters, the method we present in this article can establish a balanced multiresolution scheme for images, allowing their balanced decomposition and subsequent perfect reconstruction without the use of any extraordinary boundary filters. We define balanced multiresolution such that it allows balanced d...

This paper explores the value of Agile Coaching for companies adopting agile methods.in order to assist those who are adopting agile methods to decide on using or not using an Agile Coach by examining the value they can bring to companies adopting agile methods. In our research we surveyed three distinct groups: companies that used an Agile Coach for agile adoption, companies that adopted agile...

We have developed an algorithm to nd variable sources in X-ray data. This algorithm is designed for use as a rst-look analysis of the data to nd regions of interest which may then be analyzed in detail by other means. We detect thesèinteresting' regions in the data by rst estimating the expected counts in each pixel, and then comparing it to the actual number of counts observed. We show the res...

The promise of increased competitive advantage has been the driving force behind the large-scale investment in information technology (IT) over the last three decades. There is a continuing debate among executives and academics as to the measurable benefits of this investment. The return on investment (ROI) and other performance measures reported in the academic literature indicate conflicting ...