This paper presents a classification-driven biomedical image retrieval framework based on filtering and similarity fusion by employing supervised learning techniques. In this framework, the probabilistic outputs of multiclass support vector machine (SVM) classifier as category prediction query database images are exploited at first to filter out irrelevant images, thereby reducing search space for matching. Images classified global level according their modalities different low-level,...

Tuberculosis (TB) is a major health threat in many regions of the world, while diagnosing tuberculosis still remains challenge. Mortality rates patients with undiagnosed TB are high. Modern diagnostic techniques often too slow or expensive for highly-populated developing countries that bear brunt disease. In an effort to reduce burden disease, this paper presents automated approach detecting on conventional posteroanterior chest radiographs. The idea provide countries, which have limited...

The literature on organizational learning asserts that external is often limited geographically and technologically. We scrutinize to what extent organizations acquire knowledge by accessing repositories. argue professional service firms (PSFs) grant access nonlocalized repositories thereby not only facilitate but also help overcome localization. Focusing patent law firms, we test our predictions using a unique dataset of 544,820 pairs European applications. Analyzing patterns flows captured...

Chest x-ray (CXR) analysis is a common part of the protocol for confirming active pulmonary Tuberculosis (TB). However, many TB endemic regions are severely resource constrained in radiological services impairing timely detection and treatment. Computer-aided diagnosis (CADx) tools can supplement decision-making while simultaneously addressing gap expert interpretation during mobile field screening. These use hand-engineered and/or convolutional neural networks (CNN) computed image features....

Journal Article Striving for a large market: evidence from general purpose technology in action Get access Grid Thoma Search other works by this author on: Oxford Academic Google Scholar Industrial and Corporate Change, Volume 18, Issue 1, February 2009, Pages 107–138, https://doi.org/10.1093/icc/dtn050 Published: 23 December 2008

Abstract We take a first look at financial patents the European Patent Office (EPO). As is case United States and Trademark Office, number of in Europe has increased significantly parallel with significant changes payment systems. Scholars have argued that patents, like other business methods low value are owned for strategic reasons rather than protecting real inventions. find established firms non‐financial sectors diversified patent portfolios own large share EPO. However, new specialized...

This paper analyzes the private value of patents and R&D in a sample European firms. We find that firm's Tobin's q, defined as ratio market to replacement physical assets, is positively significantly associated with patent stocks.

The benefits of an IP strategy for innovative project that combines both patenting and trademarking are compared to those alone. results the proposed econometric analysis patents indicate a pairs almost doubles patent value. validity this result was confirmed by examining several patentee demographic characteristics extensive set value indicators regarding breadth technology potential, prior art background, filing procedural aspects usage mode. Quite interesting, when holder utility also...

In this paper we describe the development of a screening system for pulmonary pathologies (i.e. pneumonia, tuberculosis) application in global healthcare settings. As first step toward goal, presents novel approach detecting lungs and ribs chest radiographs. The is unified method combining two detection schemes resulting reduced cost. novelty our lies on fact that instead using pixel-wise techniques exclusively used region-based features computed as wavelet take into consideration...

This study aims to visualize salient network activations in a customized Convolutional Neural Network (CNN) based Deep Learning (DL) model, applied the challenge of chest X-ray (CXR) screening. Computer-aided detection (CAD) software using machine learning (ML) approaches have been developed for analyzing CXRs abnormalities with an aim reduce delays resource-constrained settings. However, field experts often need know how these techniques arrive at decision. In this study, we task-specific...

We are building a biomedical information resource consisting of digitized X-ray images and associated textual data from national health surveys. This resource, the Web-based Medical Information Retrieval System, or WebMIRS, is currently in beta test. In future WebMIRS system, we plan to have not only text raw image data, but quantitative anatomical feature derived capability retrieve based on characteristics, either alone conjunction with descriptions images. Our archive consists collected...

Understanding the effect of a given intervention on patient's health outcome is one key elements in providing optimal patient care. This study presents methodology for automatic identification outcomes-related information medical text and evaluates its potential satisfying clinical needs related to care outcomes.An annotation scheme based an evidence-based medicine model critical appraisal evidence was developed used annotate 633 MEDLINE citations. Textual, structural, meta-information...

To evaluate: (1) the effectiveness of wireless handheld computers for online information retrieval in clinical settings; (2) role MEDLINE answering questions raised at point care.A prospective single-cohort study: accompanying medical teams on teaching rounds, five internal medicine residents used and evaluated MD Tap, an application computers, to seek answers real time arising care.All transactions were stored by intermediate server. Evaluators recorded scenarios questions, identified...