CLINICAL NETWORK SOLUTIONS

Brand Owner Address Description
CNS Clinical Network Solutions 125 Rolling Brook Drive Edison NJ 08820 CLINICAL NETWORK SOLUTIONS;Computer services, namely, computer system administration for others; Computer services, namely, creating an on-line community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking; Computer services, namely, creating and maintaining web sites for others; Computer services, namely, data recovery services; Computer services, namely, database development services, namely, configuration and customization of computer databases containing information regarding public health care eligibility; Computer services, namely, designing and implementing web sites for others; Computer services, namely, electronic digitizing of medical records; Computer services, namely, electronic imaging of medical records; Computer services, namely, encrypted data recovery services; Computer services, namely, filtering of unwanted e-mails; Computer services, namely, hosting and maintaining an on-line web site for others to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking; Computer services, namely, integration of computer software into multiple systems and networks; Computer services, namely, managing web sites for others; Computer services, namely, monitoring and reporting on the performance, availability, and errors of web sites of others; Computer services, namely, monitoring the web sites of others to improve scalability and performance of web sites of others; Computer services, namely, on-line scanning, detecting, quarantining and eliminating viruses, worms, trojans, spyware, adware, malware and unauthorized data and programs on computers and electronic devices; Computer services, namely, providing a web-based system and online portal featuring on-line non-downloadable software that enables users to access training, education, testing and certification materials in the field of computer science, healthcare IT, and/or networking services.; Computer services, namely, remote and on-site management of cloud computing systems and applications for others; Computer services, namely, remote and on-site management of electronic messaging systems and applications for others; Computer services, namely, remote and on-site management of the information technology (IT) systems of others; Computer services, namely, remote management of computer applications for others; Computer services, namely, search engine optimization; Professional computer services, namely, network analysis, LAN/WAN design, wireless engineering, virtualization and computer project management;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A method and apparatus are provided for adjusting a dynamic range of a digital medical image for a medical imaging system. The digital medical image contains a clinical region and a non-clinical region. The method and apparatus identify the non-clinical region of the digital medical image and mask the non-clinical region therefrom to form a clinical image. The clinical image is then used to calculate a desired dynamic range for the medical imaging system. The dynamic range of the medical imaging system is adjusted accordingly. According to one embodiment, the non-clinical region is identified by dividing the digital medical image into bands of a predetermined width, generating profiles for each band and differentiating the profiles to obtain a differentiated profile of each band of a digital medical image. The differentiated profile is than analyzed to identify peaks that exceed predetermined thresholds, wherein the regions of the differentiated profile proximate the peaks exceeding the threshold correspond to non-clinical regions. Once the non-clinical regions are identified, they are masked or removed. Next, a desired image characteristic, such as maximum and minimum gray scale values, are determined for the clinical region and a desired dynamic range for the image is obtained based on the image characteristics of the clinical region. In an alternative embodiment, a histogram is used to identify the non-clinical regions which are subsequently masked from the digital medical image.