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Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

Radiotherapy and Oncology(2021)10.1016/j.radonc.2021.09.034Source: DataRank Database

Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas is a research paper published in Radiotherapy and Oncology (2021). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)OA: bronzeTopics (21)IDs (PubMed, PMC)

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Authors (15)

Yue Zhuo ORCID,Rita Maria Lahoud ORCID,Fei Tian ORCID,Xiaoyue Ma ORCID,Fangxu Xing ORCID

Live enrichment

PubMed:34808228 PMC:PMC8934266

NIBIB NIH HHS

Grant: P41 EB022544

NCI NIH HHS

Grant: R01 CA165221

NIBIB NIH HHS

Grant: T32 EB013180

National Institutes of Health

Grant: 5T32EB013180-05

Postgraduate Training Program in Medical Imaging (PTPMI)

National Institutes of Health

Grant: 3P41EB022544-03S1

Center for Molecular Imaging Technology and Translation (CMITT). Administrative Supplement to P41EB022544

National Institutes of Health

Grant: 5R01CA165221-08

Quantitative Oncologic PET-MR

NIH

bronzeLicense: Elsevier TDM

publisherhttps://api.elsevier.com/content/article/PII:S0167814021087557?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0167814021087557?httpAccept=text/plain

https://doi.org/10.1016/j.radonc.2021.09.034

http://arxiv.org/pdf/2110.04721

https://dx.doi.org/10.48550/arxiv.2110.04721

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansSarcomaSoft Tissue NeoplasmsObserver VariationRadiotherapy Planning, Computer-AssistedReproducibility of ResultsDeep Learning

Keywords

Sarcomacomputer-assistedRadiotherapy PlanningDeep LearningObserver VariationRadiotherapy Planning, Computer-AssistedHumansReproducibility of ResultsFOS: Physical sciencesSoft Tissue NeoplasmsMedical Physics (physics.med-ph)Physics - Medical Physics