Determining the dosimetric accuracy of deep learning-based fully automated registration-segmentation approach for thoracic cancer organs-at-risk contouring Meeting Abstract

  

Authors:	Choi, C.; Thor, M.; Jiang, J.; Rimner, A.; Veeraraghavan, H.
Abstract Title:	Determining the dosimetric accuracy of deep learning-based fully automated registration-segmentation approach for thoracic cancer organs-at-risk contouring
Meeting Title:	65th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2023)
Journal Title:	International Journal of Radiation Oncology, Biology, Physics
Volume:	117
Issue:	2 Suppl.
Meeting Dates:	2023 Oct 1-3
Meeting Location:	San Diego, CA
ISSN:	0360-3016
Publisher:	Elsevier Inc.
Date Published:	2023-10-01
Start Page:	e656
End Page:	e657
Language:	English
DOI:	10.1016/j.ijrobp.2023.06.2087
PROVIDER:	EBSCOhost
PROVIDER:	cinahl
DOI/URL:	https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=cin20&AN=170087009&authtype=sso&custid=s2915669&site=ehost-live&scope=site&custid=s2915669
Notes:	Meeting abstract: 3438 -- Source: Cinahl

https://synapse.mskcc.org/synapse/works/has_related_data_chk/210245