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QView Medical, incorporated in 2006, developed its deep learning CAD for automated breast ultrasound systems (“ABUS”) with an experienced team totaling over 100 years of AI experience.
AI-based Medical Imaging – Breast Imaging
• Automated breast ultrasound systems • Deep learning CAD • CAD subsystem • Viewer subsystem • Image processing algorithms • Image pattern recognition • Artificial neural networks • C-Thru technology
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
What is best?
• Automated breast ultrasound systems • Deep learning CAD • CAD subsystem • Viewer subsystem • Image processing algorithms • Image pattern recognition • Artificial neural networks
What are the benefits?
• Improved reading time • Diagnostic accuracy • Quickly review localized areas • Aids radiologists • Automated breast ultrasound
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Features & Functionality
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QView Medical developed its deep learning CAD for automated breast ultrasound systems (“ABUS”) with an indication that the QVCAD system is for use as an aid to the radiologist during breast screening procedures.
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QView Medical, incorporated in 2006, developed its deep learning CAD for automated breast ultrasound systems (“ABUS”) with an experienced team totaling over 100 years of AI experience. QVCAD is the next generation CAD system for automated breast ultrasound ("ABUS") based on deep learning algorithms.
The QVCAD innovative C-Thru technology combined with ABUS has demonstrated a 33% improved reading time while preserving diagnostic accuracy. The innovative QVCAD case review presents the CAD ﬁndings at the initial review of the case – Concurrent Reading. The QVCAD System is indicated for use as an aid to the radiologist during breast screening procedures for women who have negative mammograms but have had a 3D breast ultrasound (ABUS”) because of her dense breast tissue. This multi-modality approach of mammography and breast ultrasound is becoming the preferred screening protocol for women with breast density.
QVCAD is a software system consisting of two major integrated subsystems; The CAD subsystem and the viewer subsystem. The CAD subsystem contains the sophisticated image processing algorithms and the Viewer subsystem that formats the ABUS images together with the output of the QView CAD engine for display on the monitor. The QVCAD system receives input images via a standard DICOM format. The native images from the ABUS system together with the output of the QVCAD CAD Engine are concurrently displayed on the Q-Viewer.
The QVCAD CAD engine employs several image pattern recognition processes and artificial neural networks to detect suspicious areas in the breast. The objective is to distinguish potential breast lesions from normal breast tissue.
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