Radiomic analysis in contrast-enhanced mammography using a multivendor data set : accuracy of models according to segmentation techniques
| dc.contributor.author | Savaridas, Sarah L. | |
| dc.contributor.author | Agrawal, Utkarsh | |
| dc.contributor.author | Fagbamigbe, Adeniyi Francis | |
| dc.contributor.author | Tennant, Sarah L. | |
| dc.contributor.author | McCowan, Colin | |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.date.accessioned | 2023-06-20T16:33:00Z | |
| dc.date.available | 2023-06-20T16:33:00Z | |
| dc.date.issued | 2023-04-01 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 1 | |
| dc.format.extent | 598437 | |
| dc.identifier | 246104889 | |
| dc.identifier | 5ff03abb-854e-4f16-b13c-1c008948615d | |
| dc.identifier | 85153544557 | |
| dc.identifier | 36802982 | |
| dc.identifier.citation | Savaridas, S L, Agrawal, U, Fagbamigbe, A F, Tennant, S L & McCowan, C 2023, 'Radiomic analysis in contrast-enhanced mammography using a multivendor data set : accuracy of models according to segmentation techniques', The British journal of radiology, vol. 96, no. 1145, pp. 20220980. https://doi.org/10.1259/bjr.20220980 | en |
| dc.identifier.doi | 10.1259/bjr.20220980 | |
| dc.identifier.iss | 1145 | en |
| dc.identifier.issn | 1748-880X | |
| dc.identifier.other | ORCID: /0000-0001-9184-8258/work/137297648 | |
| dc.identifier.uri | https://hdl.handle.net/2164/20947 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85153544557&partnerID=8YFLogxK | en |
| dc.identifier.vol | 96 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | The British journal of radiology | en |
| dc.subject | R Medicine | en |
| dc.subject | Radiology Nuclear Medicine and imaging | en |
| dc.subject.lcc | R | en |
| dc.title | Radiomic analysis in contrast-enhanced mammography using a multivendor data set : accuracy of models according to segmentation techniques | en |
| dc.type | Journal article | en |
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