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Robust Automated Segmentation of Lung Tumors across Heterogeneous CT Protocols Using Deep Learning

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dc.contributor.authorGreen, W. R.
dc.contributor.authorMcBeth, R.
dc.contributor.authorBerlin, E.
dc.contributor.authorBourbonne, V.
dc.contributor.authorRomdhani, S.
dc.contributor.authorTheodoridis, T.
dc.contributor.authorCostea, M.
dc.contributor.authorTemiz, G.
dc.contributor.authorChakrabarti, A.
dc.contributor.authorParagios, N.
dc.contributor.authorOzyar, E.
dc.date.accessioned2026-11-05T11:01:10Z
dc.date.issued2026
dc.description.issue1
dc.description.pagese684-e684
dc.description.volume126
dc.identifier.issn0360-3016
dc.identifier.issn1879-355X
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/10664
dc.identifier.wosWOS:001898647500009
dc.language.isoen
dc.publisherELSEVIER SCIENCE INC
dc.relation.conference68th Annual Meeting of the American-Society-for-Radiation-Oncology (ASTRO)
dc.relation.ispartofINTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
dc.subjectOncology
dc.subjectRadiology, Nuclear Medicine & Medical Imaging
dc.titleRobust Automated Segmentation of Lung Tumors across Heterogeneous CT Protocols Using Deep Learning
dc.typeMeeting Abstract
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
oaire.citation.editionConference Proceedings Citation Index - Science (CPCI-S)
oaire.citation.endPagee684
oaire.citation.issue1
oaire.citation.startPagee684
oaire.citation.volume126
person.identifier.ridF-3469-2017

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