Enterprise Imaging: Page 151

Deep learning could help uncover disease biomarkers
By Erik L. Ridley
Wednesday, 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, 2016
Deep learning can label partially annotated images
By Erik L. Ridley
Wednesday, 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, 2016
Deep learning can segment, measure lymph node clusters
By Erik L. Ridley
Wednesday, November 30 | 10:30 a.m.-10:40 a.m. | SSK17-01 | Room S404ABIn this scientific session, researchers will reveal how an automated method based on deep learning shows promise for segmenting and measuring the volume of lymph node clusters.
October 30, 2016
Analytics helps spot risk for missed appointments
By Erik L. Ridley
Tuesday, November 29 | 3:30 p.m.-3:40 p.m. | SSJ13-04 | Room S402ABIn this session, researchers will describe how predictive analytics can help identify patients who may be at higher risk for missing their radiology appointment.
October 30, 2016
Deep learning may help spot interstitial lung disease
By Erik L. Ridley
Tuesday, November 29 | 12:45 p.m.-1:15 p.m. | IN235-SD-TUB3 | Lakeside, IN Community, Station 3This poster presentation will describe how deep learning may offer assistance in the challenging task of identifying interstitial lung disease.
October 30, 2016
Deep learning shows promise for spotting prostate cancer
By Erik L. Ridley
Tuesday, 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.
October 30, 2016
Deep learning detects, labels vertebrae on lumbar MRI
By Erik L. Ridley
Tuesday, 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 MRI studies.
October 30, 2016
Natural language processing, machine learning extract acute findings on reports
By Erik L. Ridley
Tuesday, November 29 | 10:50 a.m.-11:00 a.m. | SSG07-03 | Room S402ABIn this presentation, researchers will share how natural language processing and machine-learning technology can extract acute findings from radiology reports.
October 30, 2016
Deep learning may be able to avoid some breast biopsies
By Erik L. Ridley
Monday, November 28 | 3:20 p.m.-3:30 p.m. | SSE02-03 | Room E450ADeep-learning technology has the potential to help decrease the number of unnecessary biopsies performed on benign breast microcalcifications, according to this scientific presentation.
October 30, 2016
Deep learning can detect osteoporosis on CT exams
By Erik L. Ridley
Monday, 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 30, 2016
Deep learning shows promise for reading chest x-rays
By Erik L. Ridley
Monday, November 28 | 12:15 p.m.-12:45 p.m. | IN211-SD-MOA2 | Lakeside, IN Community, Station 2A deep-learning method could be used to provide a more "human-like" diagnosis on chest x-rays, according to a group from the U.S. National Institutes of Health Clinical Center.
October 30, 2016
AI offers value as teaching tool for radiologists
By Erik L. Ridley
Monday, November 28 | 11:40 a.m.-11:50 a.m. | SSC08-08 | Room S402ABResearchers in this session will share how artificial intelligence (AI) technology can be used to teach people how to think like a radiologist and overcome common biases during image interpretation.
October 30, 2016
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