Learning Objectives:

  1. Review limitations of imaging-based deep learning models and the need for reliable uncertainty estimation
  2. Discuss a novel method for estimating uncertainty for whole-slide digital pathology images
  3. Preview preliminary data using uncertainty estimation to improve prediction of early stage non-small cell lung cancer relapse
Session date: 
10/03/2022 - 12:00pm to 1:00pm CDT
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation

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Speaker Name: 
Dr. James Dolezal