CLINICAL KNOWLEDGEBASE

Brand Owner Address Description
CKB The Jackson Laboratory 600 Main Street Bar Harbor ME 04609 CLINICAL KNOWLEDGEBASE;Providing online, non-downloadable software for genetic assessment and identification of cancer, diseases, health status and metrics, and gene mutations for scientific, medical, diagnostic, treatment, and research purposes; providing online, non-downloadable software used for the sequencing and analyses of genomic data; providing online, non-downloadable software used to integrate and create data models; providing online computer databases of genomic sequences for scientific research, namely, for tracking, matching, searching, testing, aggregating, researching, and evaluating health status, and diagnosing diseases and gene mutations; software as a service (SAAS) services featuring software for analyzing and visualizing genomic data, and evaluating health status and diagnosing diseases, disorders, and syndromes; software as a service (SAAS) services featuring software for data management, for electronic storage of data in the field of clinical trials and electronic health records; providing online, non-downloadable computer software for collecting, analyzing, reporting, and tracking data and information in the fields of genetics, genomics, biochemistry; providing online, non-downloadable software for use in clinical trial data management and electronic health records; information technology consulting services relating to the collection, review, analysis and reporting of clinical trial and drug development information and electronic health records; development of scientific research and technology for purposes of evaluating health status disease diagnosis;
 

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.