Enterprise Imaging: Page 152

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
Radsource notches 6 ProtonPACS installations
By AuntMinnie.com staff writers
PACS software developer Radsource said it completed six new installations of its ProtonPACS software in the third quarter, bringing the total number of new ProtonPACS customers to 18 for 2016.
October 27, 2016
Article suggests digital technology has ruined radiology
By Brian Casey
Has digital technology -- specifically PACS -- ruined radiology as a medical specialty? That's the provocative suggestion of a new article published on October 25.
October 26, 2016
2016 10 27 09 27 09 78 Doctors Sad Lean 400
Intelerad adds to executive lineup
By AuntMinnie.com staff writers
PACS firm Intelerad Medical Systems has named Christian Bazinet as chief operating officer and Michel Desgagné as chief customer officer.
October 24, 2016
Digisonics launches ob/gyn reporting upgrade
By AuntMinnie.com staff writers
Image management firm Digisonics has released an upgrade to its ob/gyn PACS and structured reporting software.
October 20, 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
2016 10 21 09 37 52 826 Cannavo Mike Rsna13 400
RamSoft wins contract for Stana software
By AuntMinnie.com staff writers
PACS vendor RamSoft has won a contract for its Stana breast cancer tracking system with a radiology practice based in New Jersey.
October 19, 2016
Previous Page
Page 152 of 1204
Next Page