Barco's Mammo Tomosynthesis 5 MP significantly improves accuracy of breast cancer detection with numerous capabilities that enhance the conspicuity of the subtlest details. RapidFrame technology counteracts motion blur when scrolling through a stack of images due to a high pixel refresh rate. Per Pixel Uniformity measures and adjusts the luminance of each pixel, making every pixel permanently digital imaging and communications in medicine (DICOM)-compliant. SmoothGray generates ultra-precise representations of grayscale images and eliminates quantization artifacts, reducing the overall noise in the images. DuraLight Nova backlight ensures a diagnostic luminance of 1,000 cd/m². The result is enhanced visual certainty for a more confident diagnosis. For more information: www.barco.com
Mammo Tomosynthesis 5 MP Display Improves Accuracy
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.