Intensity Harmonization Techniques Influence Radiomics Features and Radiomics-based Predictions in Sarcoma Patients
hal.structure.identifier | Institut Bergonié [Bordeaux] | |
hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
hal.structure.identifier | Université de Bordeaux [UB] | |
dc.contributor.author | CROMBÉ, Amandine | |
hal.structure.identifier | Institut Bergonié [Bordeaux] | |
dc.contributor.author | KIND, Michèle | |
hal.structure.identifier | Institut Bergonié [Bordeaux] | |
dc.contributor.author | FADLI, David | |
hal.structure.identifier | Université de Bordeaux [UB] | |
hal.structure.identifier | Institut Bergonié [Bordeaux] | |
dc.contributor.author | LE LOARER, François | |
hal.structure.identifier | Université de Bordeaux [UB] | |
hal.structure.identifier | Institut Bergonié [Bordeaux] | |
dc.contributor.author | ITALIANO, Antoine | |
hal.structure.identifier | Institut Bergonié [Bordeaux] | |
dc.contributor.author | BUY, Xavier | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
hal.structure.identifier | Centre National de la Recherche Scientifique [CNRS] | |
hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
dc.contributor.author | SAUT, Olivier | |
dc.date.accessioned | 2024-04-04T02:48:34Z | |
dc.date.available | 2024-04-04T02:48:34Z | |
dc.date.issued | 2020-12 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/191751 | |
dc.description.abstractEn | Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any quantitative analysis because signal intensities (SI) do not have standardized units. Radiomics combine quantification of tumors' radiological phenotype with machine-learning to improve predictive models, such as metastasticrelapse-free survival (MFS) for sarcoma patients. We post-processed the initial T2weighted-imaging of 70 sarcoma patients by using 5 IHTs and extracting 45 radiomics features (RFs), namely: classical standardization (IHTstd), standardization per adipose tissue SIs (IHTfat), histogram-matching with a patient histogram | |
dc.language.iso | en | |
dc.publisher | Nature Publishing Group | |
dc.title.en | Intensity Harmonization Techniques Influence Radiomics Features and Radiomics-based Predictions in Sarcoma Patients | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1038/s41598-020-72535-0 | |
dc.subject.hal | Mathématiques [math]/Equations aux dérivées partielles [math.AP] | |
dc.subject.hal | Sciences du Vivant [q-bio]/Cancer | |
dc.subject.hal | Informatique [cs]/Modélisation et simulation | |
bordeaux.journal | Scientific Reports | |
bordeaux.volume | 10 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.issue | 1 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-03050686 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-03050686v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Scientific%20Reports&rft.date=2020-12&rft.volume=10&rft.issue=1&rft.eissn=2045-2322&rft.issn=2045-2322&rft.au=CROMB%C3%89,%20Amandine&KIND,%20Mich%C3%A8le&FADLI,%20David&LE%20LOARER,%20Fran%C3%A7ois&ITALIANO,%20Antoine&rft.genre=article |
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