Synapse - Efficacy of medical image transformations within an open sourced head and neck deep learning auto-contouring framework

Efficacy of medical image transformations within an open sourced head and neck deep learning auto-contouring framework Meeting Abstract

Authors:	LaBella, D.; Noah-Vermillion, L. K.; Kincaid, R. Jr; Sanford, T.; Sey, O.; Hahn, S. S.; LaCombe, M. A.; Rice, S. R.
Abstract Title:	Efficacy of medical image transformations within an open sourced head and neck deep learning auto-contouring framework
Meeting Title:	64th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2022)
Journal Title:	International Journal of Radiation Oncology, Biology, Physics
Volume:	114
Issue:	3 Suppl.
Meeting Dates:	2022 Oct 23-26
Meeting Location:	Virtual
ISSN:	0360-3016
Publisher:	Elsevier Inc.
Date Published:	2022-11-01
Start Page:	e99
End Page:	e100
Language:	English
DOI:	10.1016/j.ijrobp.2022.07.891
PROVIDER:	EBSCOhost
PROVIDER:	cinahl
DOI/URL:	https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=cin20&AN=159165713&site=ehost-live&scope=site&custid=s2915669
Notes:	Meeting Abstract: 2218 -- In section "Poster Q & A Abstracts" -- Source: Cinahl