Breast imaging developer Dexela of London has entered into a distribution agreement with software developer Three Palm Software of Los Gatos, CA, the company announced.
Dexela will market Three Palm's WorkstationOne and CadOne packages outside the U.S., in Europe, the Middle East, Africa, Russia, and India, and will provide marketing and support services to manufacturers and distributors in these areas.
The two firms also plan to use Dexela's 3D breast imaging tomosynthesis technology to develop tomosynthesis workstations and CAD applications, Dexela said.
Related Reading
Three Palm nets CE Mark, January 20, 2009
Dexela teams with IMS on breast tomosynthesis, December 3, 2008
Three Palm upgrades WorkstationOne, November 19, 2008
Dexela launches breast imaging workstation, names chairman, July 31, 2008
Dexela awarded development grant, November 28, 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)
