November 17, 2008 - Parascript LLC today released its AccuDetect 2.0, the next generation of its computer-aided detection (CAD) algorithms for mammography.

Parascript AccuDetect 2.0 is reportedly more robust with improved performance and increased potential for lowering false-positive rates in detecting suspicious lesions on mammograms. Available for OEM customers interested in reducing false-positive rates of existing CAD systems, AccuDetect is intended to assist radiologists in the early detection of breast cancer during film-based or digital mammography exams.

CAD systems are typically relied upon to identify and highlight hard-to-find features and anomalies on medical images that may be indicative of cancer and bring them to the attention of radiologists. AccuDetect is an enabling technology that reportedly easily integrates with existing analog and digital CAD systems to improve the accuracy of data interpretation. Its primary objective is to enable existing CAD systems to reduce false-positive readings through the utilization of voting methodology in medical imaging.

Parascript AccuDetect 2.0 integrates several proprietary algorithms and sophisticated voting methods to achieve low false-positive rates while maintaining high sensitivity rates. The entire process of applying voting methodology during image processing and analysis is best described as the work of a group of highly skilled experts. Each member has unique skills, expertise, and favored approaches. When they work together as a team, the areas of expertise complement each other, resulting in improved overall performance. Comparing the results of multiple image-recognition processes enables the inherent faults of the procedure to be mitigated, resulting in reduced false-positive and false-negative rates.

For more information: www.parascript.com

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