AAPM VL-Radiomics: Advances in the Use of Quantitative Imaging Used for Predictive Modeling

2015 AAPM Annual Meeting - Session: Radiomics: Advances in the Use of Quantitative Imaging Used for Predictive Modeling

Machine Learning to Improve Human Learning From Longitudinal Image Sets
Harini Veeraraghavan, Memorial Sloan-Kettering Cancer Center

Handout(s):

99-27356-365478-111715.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). add this video to a playlist.

All videos in this session:

	Radiomics: Quantitative Imaging in the Service of Improved Treatment Decision Making - Joseph Deasy, PhD Memorial Sloan Kettering Cancer Center
	Robust Radiomics Methods for PET and CT Imaging - Hugo Aerts, Brigham and Women's Hospital and Dana-Farber Cancer Institute
	Radiomics and the Coming Pan-Omics Revolution - Issam El Naqa, PhD University of Michigan

Graph includes 72 member loads and 3105 non-member loads (3177 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.

AAPM is the American Association of Physicists in Medicine.
1631 Prince Street
Alexandria, VA 22314
Phone 571-298-1300
Fax 571-298-1301 
Send general questions to 2024.aapm@aapm.org

AAPM's Privacy Policy
Use of the site constitutes your acceptance to its terms and conditions.

AAPM is a scientific, educational, and professional nonprofit organization devoted to the discipline of physics in medicine. The information provided in this website is offered for the benefit of its members and the general public, however, AAPM does not independently verify or substantiate the information provided on other websites that may be linked to this site.

AAPM Virtual Library

2015 AAPM Annual Meeting - Session: Radiomics: Advances in the Use of Quantitative Imaging Used for Predictive Modeling