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2018 GTC Washington DC

DC8195 - Deep Learning for the Early Detection of Pancreatic Cancer on CT Scanning

Session Speakers
Session Description

The talk will focus on our 2 year journey to develop deep learning algorithms for the detection of pancreatic cancer on CT scans. The effort of a multi-disciplinary teams of Computer Scientists, Radiologists, Oncologists, and Pathologists determined that deep learning could potentially change the trajectory of pancreatic cancer survival (currently under 7% at 5 years) by early detection and avoiding what has been documented as an up to 25% false negative rate. The session will address the challenges of creating over 1100 normal studies to train the computer and then over 1500 pancreatic cancer studies to train the algorithms in booth organ segmentation and then tumor detection and analysis We will discuss what successes we have had in lesion detection and what changes remain . We will also discuss the role of Radiomics with deep learning as a way of potentially improving lesion detection and eventually lesion classification , The talk will illustrate the work done with a series of cases studies showing both the successes and challenges of this work. Finally we will address we we see this work going and the opportunities for introducing this into clinical practice.


Additional Information
AI in Healthcare
AI in Healthcare, Deep Learning and AI
Healthcare & Life Sciences
Business/Executive level
Talk
50 minutes
Session Schedule