Clinical News: Page 1731

Texture classification aids CADx in classifying emphysema
By Erik L. Ridley
Thursday, November 29 | 12:15 p.m.-12:45 p.m. | LL-CHS-TH2A | Lakeside Learning CenterJapanese researchers will share their work aimed at improving the computer-aided diagnosis (CADx) of pulmonary emphysema on CT.
November 11, 2012
Breast MRI lesion features may predict treatment response
By Erik L. Ridley
Wednesday, November 28 | 3:30 p.m.-3:40 p.m. | SSM01-04 | Arie Crown TheaterIn this presentation, researchers will detail how quantitative image analysis of 30 MRI-based lesion features shows potential for predicting patient response to neoadjuvant chemotherapy.
November 11, 2012
CAD may improve breast ultrasound specificity
By Erik L. Ridley
Wednesday, November 28 | 3:00 p.m.-3:10 p.m. | SSM01-01 | Arie Crown TheaterThis scientific session will describe how a computer-aided detection (CAD) scheme can help distinguish between benign and malignant masses on breast ultrasound exams.
November 11, 2012
Software provides automated patient size estimate on CT
By Erik L. Ridley
Tuesday, November 27 | 5:30 p.m.-6:00 p.m. | LL-PHS-TU9D | Lakeside Learning CenterIn this scientific poster, a study team will explore the capabilities of the open-source Generalized Radiation Observation Kit application for providing automated patient size estimates on CT exams.
November 11, 2012
CBIR may assist in cancer diagnosis on breast ultrasound
By Erik L. Ridley
Tuesday, November 27 | 3:50 p.m.-4:00 p.m. | SSJ22-06 | Room S403BThis scientific paper presentation will discuss how a content-based image retrieval (CBIR) technique shows potential for helping radiologists diagnose breast cancer on ultrasound studies.
November 11, 2012
CAD shows promise for minimal-prep VC
By Erik L. Ridley
Tuesday, November 27 | 3:50 p.m.-4:00 p.m. | SSJ08-06 | Room E353CThis scientific session will discuss the potential role for a multienergy computer-aided detection (CAD) technique with minimal-preparation multienergy virtual colonoscopy.
November 11, 2012
CAD can detect coronary artery stenosis on MRA
By Erik L. Ridley
Tuesday, November 27 | 3:30 p.m.-3:40 p.m. | SSJ22-04 | Room S403BIn this Tuesday afternoon session, a Japanese team will present a computer-aided detection (CAD) scheme for finding coronary artery stenosis on whole-heart cardiac MR angiography (MRA).
November 11, 2012
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
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
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