LPixel is pleased to announce its attendance at RSNA 2017 – 103rd Scientific Assembly and Annual Meeting scheduled to be held in Chicago from November 26, 2017 to December 1, 2017. RSNA is an international society for radiologists and medical professionals that gathers over 54,000 members from over 136 countries across the globe. The body hosts one of the world’s largest radiology forums in Chicago every year. Attendees can learn more about LPixel’s impressive line of AI-powered medical diagnostic solutions at booth #8550 in the Machine Learning Pavilion, one of the newest areas featured for the first time at this year’s RSNA.
LPixel is also proud to announce that the CEO, Yuki Shimahara, and Chief Engineer in the Medical Business Department, Antoine Choppin will be giving a theater presentation at this year’s RSNA to unveil the latest in LPixel’s medical diagnostic solutions. The presentation is scheduled to take place on November 27, 2017. LPixel would like to take this opportunity to invite attendees to visit the company’s booth to learn more about the medical image diagnostic support system, discuss new opportunities, and to get an in-person explanation of the technologies.
|Date||November 26, 2017 – December 1, 2017|
(Chicago Illinois, USA)
Machine Learning Pavilion
|Service||Medical Image Diagnostic Support System|
■Theater Presentation Details
Title: AI Medical Image Diagnostic Support System
Presenters: Yuki Shimahara (CEO), Antoine Choppin (Chief Engineer)
Date/Time: Monday, November 27, 2017 1:30 – 1:50 pm
Place: ML25 Room Machine Learning Showcase North Hall
■Request a Meeting
Click here to book an appointment with us during the RSNA.
LPixel is a leader in advanced image analysis and processing technology encompassing the life science field. Founded in March 2014, LPixel is dedicated to offering research facilities top-tier image analysis technologies and medical diagnosis systems, both of which adopt advanced AI technology. The company is currently working with the National Cancer Center Japan and other research institutions for further the development of AI-based medical diagnosis software. For more information, please visit https://lpixel.net/en/