A New Horizon for Radiology Computer-Assisted Detection
An educational session at the Radiology Society of North America’s annual conference, Nov. 27-Dec. 2 in Chicago, will explore new trends in computer-assisted decision support systems for breast cancer care.
An educational session at the Radiology Society of North America's annual conference, Nov. 27-Dec. 2 in Chicago, will explore new trends in computer-assisted decision support systems for breast cancer care.
These systems, called CAD, currently are used to analyze digital mammograms and detect suspicious areas that could be abnormalities. Newer technologies--computer-assisted diagnostics--are appearing that go beyond simple detection, says Maryellen Giger, PhD, a professor of radiology at the University of Chicago.
Some detection systems can give clinicians the size of a lesion and some descriptive features. Computer-assisted diagnostic systems under development may further characterize the lesion, and with quantitative image analysis could potentially aid in assessing prognosis or response to therapy, Giger says.
Giger, co-presenting the three-part session, will review current and developing CAD technologies, and encourage robust validation and subsequent adoption. Other parts of the session cover computer-aided detection, and clinical aspects of computer-assisted detection and diagnosis systems.
Course No. RC421, "New Trends in Breast CAD," is scheduled at 4:30 p.m. on Tuesday, Nov. 29, in Room E352 at McCormick Place. More information is available at rsna.org.
These systems, called CAD, currently are used to analyze digital mammograms and detect suspicious areas that could be abnormalities. Newer technologies--computer-assisted diagnostics--are appearing that go beyond simple detection, says Maryellen Giger, PhD, a professor of radiology at the University of Chicago.
Some detection systems can give clinicians the size of a lesion and some descriptive features. Computer-assisted diagnostic systems under development may further characterize the lesion, and with quantitative image analysis could potentially aid in assessing prognosis or response to therapy, Giger says.
Giger, co-presenting the three-part session, will review current and developing CAD technologies, and encourage robust validation and subsequent adoption. Other parts of the session cover computer-aided detection, and clinical aspects of computer-assisted detection and diagnosis systems.
Course No. RC421, "New Trends in Breast CAD," is scheduled at 4:30 p.m. on Tuesday, Nov. 29, in Room E352 at McCormick Place. More information is available at rsna.org.
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