Encrypted | Login

2019 AAPM Annual Meeting - Session: AI for Predicting Response


This video is currently visible only to AAPM Members, Affiliates and Developing Country Educational Associates. Embargo periods are typically one year from the date the presentation was first published.


Radiomics and Machine Learning in Predicting Response From Medical Imaging
Maryellen Giger, PhD University of Chicago
m-giger@uchicago.edu


Handout(s): 146-47168-486612-143730.pdf
When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below).



All videos in this session:
AI for Predicting Treatment Outcomes - Jayashree Kalpathy-Cramer, Massachusetts General Hospital
Quantitative Imaging Response Metrics for Hepatobiliary and Pancreatic Cancers - Eugene Koay, MD Anderson
Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Habitat Imaging - Jia Wu, Stanford University
Q & A -
Graph includes 157 member loads and 243 non-member loads (400 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.