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
Medical Radiographic X-Ray Machine
TR30N HF
Digital Radiographic System
OMNERA 300M
Ultrasonic Pocket Doppler
SD1
Computed Tomography System
Aquilion ONE / INSIGHT Edition
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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.