Resources: Page 398

Standalone breast CAD system could identify suspicious cases
By Erik L. Ridley
Tuesday, November 27 | 3:10 p.m.-3:20 p.m. | SSJ22-02 | Room S403BResearchers will describe in this presentation how a breast computer-aided detection (CAD) system could be deployed to improve screening efficacy by independently identifying suspicious nonreferred cases.
November 11, 2012
CADx may improve characterization of central gland lesions
By Erik L. Ridley
Tuesday, November 27 | 3:00 p.m.-3:10 p.m. | SSJ22-01 | Room S403BIn this scientific paper presentation, Dutch researchers will highlight the potential of computer-aided diagnosis (CADx) for differentiating benign and malignant central gland lesions in the prostate.
November 11, 2012
Adding CAD improves tuberculosis screening in Africa
By Erik L. Ridley
Tuesday, November 27 | 3:00 p.m.-3:10 p.m. | SSJ05-01 | Room S404CDIn this presentation, Dutch researchers will describe how using a computer-aided detection (CAD) algorithm to help interpret digital chest x-ray studies contributed to modest improvement in reader performance.
November 11, 2012
Tool excludes obstructive coronary artery disease on CCTA
By Erik L. Ridley
Tuesday, November 27 | 12:15 p.m.-12:45 p.m. | LL-CAS-TU6A | Lakeside Learning CenterThis scientific poster will illustrate how an automated tool can rapidly exclude obstructive coronary artery disease in emergency department patients with acute chest pain who undergo coronary CT angiography (CCTA).
November 11, 2012
Semiautomated CT lesion analysis saves time
By Erik L. Ridley
Tuesday, November 27 | 11:40 a.m.-11:50 a.m. | SSG18-08 | Room S104AA team from the U.S. National Institutes of Health (NIH) has found that a semiautomated lesion management application was faster and more consistent than manual observers in assessing cancer therapy response.
November 11, 2012
Method segments functional, anatomic areas on PET/MRI
By Erik L. Ridley
Tuesday, November 27 | 11:40 a.m.-11:50 a.m. | SSG09-08 | Room S402ABA team from the U.S. National Institutes of Health will present a segmentation method that can simultaneously and automatically delineate regions of radiotracer uptake and corresponding anatomical structures on PET/MRI scans.
November 11, 2012
Semiautomated assessment tool evaluates tumor burden
By Erik L. Ridley
Tuesday, November 27 | 11:30 a.m.-11:40 a.m. | SSG09-07 | Room S402ABResearchers from the U.S. National Institutes of Health will present the results of a semiautomated metastatic lesion measurement tool for providing tumor assessment in melanoma patients.
November 11, 2012
Tool automates measurements for perforator flap angiography
By Erik L. Ridley
Tuesday, November 27 | 11:20 a.m.-11:30 a.m. | SSG09-06 | Room S402ABA study team will detail how software can provide automated reporting of MR angiography perforator flap angiography exams.
November 11, 2012
Computer reasoning may improve cancer treatment assessment
By Erik L. Ridley
Tuesday, November 27 | 11:10 a.m.-11:20 a.m. | SSG09-05 | Room S402ABIn this Tuesday morning presentation, Stanford University researchers will discuss their approach to automate and reduce variation in imaging assessment of treatment response.
November 11, 2012
3D quantitative analysis shows promise for pulmonary fibrosis
By Erik L. Ridley
Tuesday, November 27 | 11:10 a.m.-11:20 a.m. | SSG05-05 | Room S405ABThis scientific session will share the results of a multicenter study of a computer-aided detection (CAD) system for quantitative CT analysis of patients with idiopathic pulmonary fibrosis.
November 11, 2012
AV services come with informatics, financial hurdles
By Erik L. Ridley
Tuesday, November 27 | 10:30 a.m.-10:40 a.m. | SSG09-01 | Room S402ABIn his keynote talk, Gordon Harris, PhD, will discuss the informatics and financial challenges involved with creating advanced visualization (AV) services as streamlined and integrated components of routine practice.
November 11, 2012
Technique cuts out metal artifacts on CT images
By Erik L. Ridley
Monday, November 26 | 3:30 p.m.-3:40 p.m. | SSE22-04 | Room S403BIn this scientific paper presentation, researchers will discuss the potential of a new algorithm for reducing metal artifacts on CT images.
November 11, 2012
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