Principal component analysis applied to radiomics data : added value for separating benign from malignant solitary pulmonary nodules
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| dc.contributor.author | Bomhals, Birte
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| dc.contributor.author | Cossement, Lara
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| dc.contributor.author | Maes, Alex
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| dc.contributor.author | Sathekge, Mike Machaba
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| dc.contributor.author | Mokoala, Kgomotso M.G.
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| dc.contributor.author | Sathekge, Chabi
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| dc.contributor.author | Ghysen, Katrien
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| dc.contributor.author | Van de Wiele, Christophe
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| dc.date.accessioned | 2024-05-28T05:02:05Z | |
| dc.date.available | 2024-05-28T05:02:05Z | |
| dc.date.issued | 2023-12 | |
| dc.description | DATA AVAILABILITY STATEMENT: Data may be obtained via the last author following a reasonable request and following approval from our Ethics Committee. | en_US |
| dc.description.abstract | Please read abstract in article. | en_US |
| dc.description.department | Nuclear Medicine | en_US |
| dc.description.sdg | SDG-03:Good heatlh and well-being | en_US |
| dc.description.uri | https://www.mdpi.com/journal/jcm | en_US |
| dc.identifier.citation | Bomhals, B.; Cossement, L.; Maes, A.; Sathekge, M.; Mokoala, K.M.G.; Sathekge, C.; Ghysen, K.; Van deWiele, C. Principal Component Analysis Applied to Radiomics Data: Added Value for Separating Benign from Malignant Solitary Pulmonary Nodules. Journal of Clinical Medicine. 2023, 12, 7731. https://doi.org/10.3390/jcm12247731. | en_US |
| dc.identifier.issn | 2077-0383 (online) | |
| dc.identifier.other | 10.3390/jcm12247731 | |
| dc.identifier.uri | http://hdl.handle.net/2263/96250 | |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI | en_US |
| dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.subject | Solitary pulmonary nodules | en_US |
| dc.subject | Texture features | en_US |
| dc.subject | Benign vs. malignant | en_US |
| dc.subject | Logistic binomial regression | en_US |
| dc.subject | Principal component analysis (PCA) | en_US |
| dc.subject | SDG-03: Good health and well-being | en_US |
| dc.title | Principal component analysis applied to radiomics data : added value for separating benign from malignant solitary pulmonary nodules | en_US |
| dc.type | Article | en_US |
