Europe
Clinical News
Informatics
Industry News
Practice Management
Education
Subspecialties
More
Sign In
CT
Digital X-Ray
Interventional
Molecular Imaging
MRI
Radiation Oncology/Therapy
Ultrasound
Womens Imaging
CT: Page 403
Stroke CAD software shows promise
By
Erik L. Ridley
Education Exhibit | LL-INE1188-WEA | Lakeside Learning CenterThis exhibit will present software for computer-aided detection (CAD) of stroke for automatic identification, localization, and volume estimation of ischemic infarcts in unenhanced CT images.
November 14, 2010
Computer GPUs power 3D CAD for multiple sclerosis
By
Erik L. Ridley
Education Exhibit | LL-INE1200-TUA | Lakeside Learning CenterIn this exhibit, researchers from the University of Southern California in Los Angeles will present how graphics processing units (GPUs) can improve the performance of 3D computer-aided detection (CAD) software for multiple sclerosis.
November 14, 2010
How to be efficient in reading VC CAD
By
Erik L. Ridley
Education Exhibit | LL-GIE2302 | Lakeside Learning CenterVisitors to this exhibit will receive practical tips on getting the most from their virtual colonoscopy computer-aided detection (CAD) software.
November 14, 2010
Using 3D in patients with penetrating trauma
By
Erik L. Ridley
Education Exhibit | LL-ERE2249 | Lakeside Learning CenterVisitors to this exhibit in the Lakeside Learning Center will learn how 3D postprocessing imaging techniques can assist in trauma-related patient care.
November 14, 2010
Visual search patterns of volumetric datasets may reveal much
By
Erik L. Ridley
Thursday, December 2 | 11:20 a.m.-11:30 a.m. | SSQ10-06 | Room S402ABResearchers from Stanford University in Stanford, CA, will share their work in this Thursday session on investigating the perceptual capabilities of the human visual system in relation to medical images.
November 14, 2010
Using VC CAD as second reader performs best
By
Erik L. Ridley
Thursday, December 2 | 11:20 a.m.-11:30 a.m. | SSQ05-06 | Room E353CIn this paper presentation, researchers will share their findings from evaluating different reading methods for virtual colonoscopy computer-aided detection (CAD) by experienced readers.
November 14, 2010
Using VC CAD as first reader offers efficiency gains
By
Erik L. Ridley
Thursday, December 2 | 11:10 a.m.-11:20 a.m. | SSQ05-05 | Room E353CIn this scientific session, a study team from Italy will discuss how the use of virtual colonoscopy computer-aided detection (CAD) as a first reader can reduce reading times without sacrificing performance.
November 14, 2010
VC CAD can be used with, without fecal tagging
By
Erik L. Ridley
Thursday, December 2 | 11:00 a.m.-11:10 a.m. | SSQ05-04 | Room E353CA research group will present data that showed no significant performance difference in employing virtual colonoscopy computer-aided detection (CAD) on patients with or without fecal tagging.
November 14, 2010
Advanced visualization method slashes VC interpretation times
By
Erik L. Ridley
Thursday, December 2 | 10:50 a.m.-11:00 a.m. | SSQ05-03 | Room E353CIn this paper presentation, a German team will share how a new 3D visualization technique can provide fast and accurate interpretation of virtual colonoscopy images.
November 14, 2010
Concurrent use of CAD fares well in low-dose CT
By
Erik L. Ridley
Wednesday, December 1 | 10:40 a.m.-10:50 a.m. | SSK05-02 | Room S404CDWhat are the effects of running a computer-aided detection (CAD) algorithm concurrently during the reading process for low-dose CT studies? A group from Kobe University in Japan sought answers in this study.
November 14, 2010
Automatic segmentation algorithm yields workflow gains
By
Erik L. Ridley
Tuesday, November 30 | 3:20 p.m.-3:30 p.m. | SSJ14-03 | Room S402ABResearchers from software giant Microsoft of Redmond, WA, will show an automated full-body CT segmentation algorithm that can provide access to quantitative information, among other benefits.
November 14, 2010
VC CAD helps radiologists detect difficult polyps
By
Erik L. Ridley
Tuesday, November 30 | 11:50 a.m.-12:00 p.m. | SSG13-09 | Room S403AIn another presentation from the University of Chicago, researchers will show how virtual colonoscopy computer-aided detection (CAD) software can assist in identifying difficult polyps.
November 14, 2010
Previous Page
Page 403 of 669
Next Page