Radiography
Machine Learning Helps Improve Mammography Workflow Efficiency
A team of researchers from the University of California Los Angeles has demonstrated that machine learning can reduce the number of mammograms a radiologist needs to read by using a machine learning classifier to correctly identify normal mammograms and select the uncertain and abnormal examinations for radiological interpretation. More...22 Jun 2019
Opaque X-Ray Mobile Lead Barrier
2594M
Portable Color Doppler Ultrasound Scanner
DCU10
New
Portable HF X-Ray Machine
PORTX
Radiology Software
DxWorks
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Disposable Yeast Badges Detect Radiation Exposure Instantly
New Positioning Platform Improves Imaging Efficiencies
Personal Dosimeter Provides Ultra-Precise Radiation Detection
Flexible X-Ray Detectors Conform to Individual Specifications
Compact Digital Radiography System Saves Space
The MedImaging Radiology channel covers fluoroscopy, digital radiography, computerized tomography, mammography, interventional radiology, and other medical uses of X-ray imaging as well as related instrumentation, trends and safety issues.