AAPM VL-Quantitative Imaging in Radiomics and Machine Learning

2018 AAPM Annual Meeting - Session: Quantitative Imaging in Radiomics and Machine Learning

How Much Data Do We Need, and Where Do We Get It?
Joseph Deasy, PhD Memorial Sloan Kettering Cancer Center
deasyj@mskcc.org

Handout(s):

137-39015-446581-135646.pdf

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All videos in this session:

	AI in Radiology - Now and in the Future - Michael Tilkin, American College of Radiology
	AI in Radiation Oncology - Now and in the Future - Charles Mayo, PhD University of Michigan
	Imaging Genomics Applications in Oncology - Robert Gillies, Moffitt Cancer Center
	Deep Learning Will Make QI Routine in Radiology - Bradley Erickson, Mayo Clinic

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2018 AAPM Annual Meeting - Session: Quantitative Imaging in Radiomics and Machine Learning