Carestream Health's authorized distributor for Latvia, NMS Grupa, has received an order for Carestream's computed radiography (CR) mammography package in the city of Riga, the Rochester, NY-based company said.
Carestream will install its Kodak Directview Classic CR system with mammography, a workstation, and its Kodak digital mammography computer-aided detection (CAD) system at the Mediciniska firma Dziednieciba (MFD Healthcare Group).
MFD is the first hospital in Latvia to use CAD, according to Carestream.
Related Reading
Carestream installs 21 systems in Scotland PACS project, May 1, 2008
Carestream scores 7 Canadian contracts, April 24, 2008
Carestream hits DryView milestone, April 17, 2008
Carestream signs with VirtuRad, April 14, 2008
Carestream releases new image analysis software, April 11, 2008
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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&fit=crop&h=112&q=70&w=112)




