Swedish image enhancement developer ContextVision has inked agreements with three undisclosed x-ray OEMs for its GOPView XR2-ADi package, according to the Stockholm-based firm.
GOPView XR2-ADi is an add-on module to ContextVision's GOPView XR2 software and increases an image's overall quality, the company said. It relies on ContextVision's proprietary algorithm, GOP, which mimics the human eye's method of finding information and analyzing structures.
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ContextVision signs OEM deal, August 19, 2008
ContextVision inks OEM deal, May 28, 2008
ContextVision posts healthy Q3, October 24, 2007
ContextVision signs OEM contracts, June 12, 2007
ContextVision releases GOPView for digital x-ray, April 18, 2007
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
