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Computer-Aided Detection from Parascript® AccuDetect®Achieve a higher level of assurance with AccuDetect computer-aided detection AccuDetect is a set of computer-aided detection (CAD) algorithms designed to deliver the lowest false-positive rates in the industry. Designed to help radiologists in the early detection of hard-to-find breast lesions during film-based or digital mammography exams, AccuDetect automatically identifies and clearly marks suspicious areas without obscuring the region of interest, enabling a more accurate interpretation of mammograms and increased detection of calcifications and masses. Background Mammography screening in the United States differs from processes used by countries with formal screening programs. In the U.S. a single reader reviews the images versus employing independent double reading. One of the causes for single reading is that fewer radiologists are entering the mammography field. Computer-aided detection (CAD) provides a critical aid, because it can reduce double-reading while increasing the detection rate. With computer-aided detection algorithms on a continuous improvement path, more and more computer-aided detection systems are deployed in double-read environments, and faster adoption is only hampered by reports that current computer-aided detection (CAD) systems still deliver unacceptably high false-positive rates. Many radiologists believe that advancements in medical image analysis and recognition technology will result in the introduction of next generation computer-aided detection systems that will be truly used as a second opinion, with false-positive rates approaching those of a second radiologist. Next generation computer-aided detection AccuDetect's computer-aided detection technology integrates several complementary algorithms and sophisticated voting methods to achieve high sensitivity and low false-positive rates for greater levels of certainty. Parascript's computer-aided detection algorithm is intended for OEM customers that are interested in improving the performance of their computer-aided detection and mammography systems.
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