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Minnies
Resources: Page 270
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
Deep learning + CADx combo performs best in breast tumors
By
Erik L. Ridley
Monday, November 28 | 11:30 a.m.-11:40 a.m. | SSC08-07 | Room S402ABIn this talk, researchers will describe how the combination of deep convolutional neural networks and computer-assisted diagnosis (CADx) software yields improved diagnostic performance in differentiating breast tumors on full-field digital mammography and ultrasound.
October 30, 2016
Deep learning may help assess breast cancer risk
By
Erik L. Ridley
Monday, November 28 | 9:00 a.m.-9:10 a.m. | RC215-03 | Arie Crown TheaterDeep learning may be able to help clinicians evaluate mammographic parenchymal patterns for assessing breast cancer risk, according to researchers from the University of Chicago.
October 30, 2016
Deep learning can find, label images in PACS
By
Erik L. Ridley
Sunday, November 27 | 12:30 p.m.-1:00 p.m. | IN200-SD-SUA1 | Lakeside, IN Community, Station 1In this poster presentation, researchers will highlight the potential of deep-learning techniques for categorizing and labeling images stored on PACS archives.
October 30, 2016
It helps to correlate radiology, pathology in PACS
By
Erik L. Ridley
Sunday, November 27 | 12:05 p.m.-12:15 p.m. | SSA12-09 | Room S403AIn this scientific presentation, researchers will describe how correlating radiology and pathology results within their PACS software yields time savings and efficiency gains for radiologists who perform image-guided procedures.
October 30, 2016
Inadequate history may not affect emergency radiology reads
By
Erik L. Ridley
Sunday, November 27 | 11:35 a.m.-11:45 a.m. | SSA06-06 | Room N226In this presentation, researchers from a teleradiology services provider will share how a lack of adequate clinical history -- surprisingly -- did not lead to more interpretation errors on emergency radiology cases.
October 30, 2016
Machine learning can assess MR image quality
By
Erik L. Ridley
Sunday, 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.
October 30, 2016
AuntMinnie.com announces winners of 2016 Minnies awards for excellence in radiology
Tucson, AZ (PRWEB) - Radiology portal AuntMinnie.com today announced the winners of the 2016 edition of the Minnies, an annual event recognizing excellence in medical imaging.
October 26, 2016
Winners of Minnies 2016 showcase mosaic of radiology
By
Brian Casey and Erik L. Ridley
As they do every year, the winners of this year's Minnies awards highlight how the diverse pieces of medical imaging unite into a single glorious mosaic. The Minnies laureates for 2016 range from a researcher whose life's work helped shape U.S. healthcare policy this year to a radiologist who is winning his fifth Minnie.
October 26, 2016
Straight Talk From the PACSman: A PACS-centric RSNA?
By
Michael J. Cannavo
It's time to change how PACS is shown at the annual RSNA meeting in Chicago, according to PACS consultant Michael J. Cannavo, aka the PACSman. Vendors and prospective purchasers alike would benefit greatly from an exhibit hall dedicated just to PACS and related imaging informatics technologies.
October 20, 2016
Toshiba RSNA lineup to include new Infinix-i room
By
AuntMinnie.com staff writers
Toshiba America Medical Systems plans to launch a new interventional radiology room in its Infinix-i family that features what the company calls a double-sliding C-arm at the upcoming RSNA 2016 meeting in Chicago.
October 2, 2016
Agfa to launch new DR panel at RSNA 2016
By
AuntMinnie.com staff writers
Agfa HealthCare plans to debut a new retrofit digital radiography (DR) detector package at the upcoming RSNA 2016 meeting in Chicago.
September 28, 2016
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