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Introduction

Deep learning–based object detection has already proven its maturity in many domains and serves as a key component in most AI solutions for medical imaging.

In this webinar, Idan Bassuk, head of AI at Aidoc, will present the unique challenges and opportunities for AI in medical imaging.

You will learn:
  • why deep learning is a great fit for medical imaging;
  • how deep learning can solve some of the major challenges associated with training AI in medical imaging, including pyramid networks, focal loss, and deformable convolutional networks; and
  • about the value AI provides in prioritizing urgent patients in a clinical settings.

ON DEMAND WEBINAR REGISTRATION

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Idan Bassuk

Head of AI, Aidoc

Idan Bassuk graduated from Talpiot (an elite academic program in Israel) with highest honors, and is currently the head of AI at Aidoc. Idan spends his time working on developing scalable AI-based solutions in medical imaging, which are already helping doctors save lives in many of the top hospitals in the U.S. and Europe.

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Date & Time: Wednesday, April 22, 2018