Artificial Intelligence in Radiation Oncology Imaging
Int J Radiat Oncol Biol Phys
.
2018 Nov 15;102(4):1159-1161.
doi: 10.1016/j.ijrobp.2018.05.070.
Epub 2018 Oct 18.
Authors
Reid F Thompson
1
,
Gilmer Valdes
2
,
Clifton David Fuller
3
,
Colin M Carpenter
4
,
Olivier Morin
2
,
Sanjay Aneja
5
,
William D Lindsay
6
,
Hugo J W L Aerts
7
,
Barbara Agrimson
8
,
Curtiland Deville Jr
9
,
Seth A Rosenthal
10
,
James B Yu
5
,
Charles R Thomas Jr
8
Affiliations
1
Oregon Health & Science University, Portland, Oregon; VA Portland Health Care System, Portland, Oregon. Electronic address: thompsre@ohsu.edu.
2
University of California San Francisco, San Francisco, California.
3
MD Anderson Cancer Center, Houston, Texas.
4
Siris Medical, Inc, Redwood City, California.
5
Yale University, New Haven, Connecticut.
6
Oncora Medical, Philadelphia, Pennsylvania.
7
Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
8
Oregon Health & Science University, Portland, Oregon.
9
Johns Hopkins University School of Medicine, Baltimore, Maryland.
10
Sutter Medical Group and Suttter Cancer Center, Sacramento, California.
PMID:
30353870
DOI:
10.1016/j.ijrobp.2018.05.070
No abstract available
Publication types
Editorial
MeSH terms
Artificial Intelligence*
Diagnostic Imaging*
Humans
Radiation Oncology*