Erik L. Ridley[email protected]MRIDeep learning shows promise for spotting prostate cancerTuesday, November 29 | 12:15 p.m.-12:45 p.m. | IN229-SD-TUA6 | Lakeside, IN Community, Station 6In this poster presentation, researchers will highlight the potential of deep learning in detecting clinically significant prostate cancer on multiparametric MRI scans.November 2, 2016MRIDeep learning detects, labels vertebrae on lumbar MRITuesday, November 29 | 12:15 p.m.-12:45 p.m. | IN227-SD-TUA4 | Lakeside, IN Community, Station 4A new study has shown that deep-learning technology can detect and label vertebrae on lumbar MR studies.November 2, 2016MRIMachine learning can assess MR image qualitySunday, November 27 | 11:25 a.m.-11:35 a.m. | SSA22-05 | Room S405ABGerman researchers will explain in this scientific presentation how machine-learning technology can handle the challenge of assessing the image quality of MR studies.November 2, 2016CTDeep learning can detect osteoporosis on CT examsMonday, November 28 | 12:15 p.m.-12:45 p.m. | IN212-SD-MOA3 | Lakeside, IN Community, Station 3Artificial intelligence based on deep-learning techniques may be able to automatically screen for osteoporosis in routine abdominal CT exams, according to this poster presentation.October 31, 2016ISRoad to RSNA 2016: Imaging Informatics PreviewWelcome to the first installment of this year's Road to RSNA preview of the 2016 RSNA meeting in Chicago. For the eighth year in a row, we're providing a modality-by-modality overview of the most important scientific sessions to serve as your guide to events at McCormick Place. Our journey along the Road to RSNA begins with our preview of Imaging Informatics, and specifically PACS, deep learning, and teleradiology.October 30, 2016ISPACS software tool boosts lesion measurement accuracyThursday, December 1 | 11:40 a.m.-11:50 a.m. | SSQ10-08 | Room S403AIn this talk, researchers will share how a PACS-integrated software tool can help radiologists be more efficient and accurate in documenting lesion measurements.October 30, 2016ISCan display features improve DR interpretations?Wednesday, November 30 | 3:50 p.m.-4:00 p.m. | SSM12-06 | Room S403AIn this scientific presentation, an Italian group will show how higher spatial resolution and luminance levels on medical displays may be able to improve radiologist performance in reading digital radiography (DR) images.October 30, 2016ISPACS display features affect diagnostic performanceWednesday, November 30 | 3:20 p.m.-3:30 p.m. | SSM12-03 | Room S403AItalian researchers will report in this session on the display characteristics and settings that most affect the identification of cerebral infarction on brain CT exams.October 30, 2016ISDeep learning could help uncover disease biomarkersWednesday, November 30 | 12:45 p.m.-1:15 p.m. | IN247-SD-WEB2 | Lakeside, IN Community, Station 2This poster presentation will illustrate the potential of deep-learning methods for finding imaging biomarkers in relatively uncommon diseases, such as nasopharyngeal cancer.October 30, 2016ISDeep learning can label partially annotated imagesWednesday, November 30 | 12:15 p.m.-12:45 p.m. | IN242-SD-WEA3 | Lakeside, IN Community, Station 3In this poster presentation, a study team will show how deep-learning techniques can be used to fully segment and label disease regions on images that have only been partially annotated.October 30, 2016Previous PagePage 131 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
