| dc.contributor.author | Wang, C | en_US |
| dc.contributor.author | Brentnall, AR | en_US |
| dc.contributor.author | Cuzick, J | en_US |
| dc.contributor.author | Harkness, EF | en_US |
| dc.contributor.author | Evans, DG | en_US |
| dc.contributor.author | Astley, S | en_US |
| dc.date.accessioned | 2017-11-20T11:49:10Z | |
| dc.date.available | 2017-09-27 | en_US |
| dc.date.issued | 2017-10-18 | en_US |
| dc.date.submitted | 2017-10-24T15:56:33.683Z | |
| dc.identifier.issn | 1465-542X | en_US |
| dc.identifier.other | ARTN 114 | en_US |
| dc.identifier.other | ARTN 114 | en_US |
| dc.identifier.other | ARTN 114 | en_US |
| dc.identifier.other | ARTN 114 | en_US |
| dc.identifier.other | ARTN 114 | en_US |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/28809 | |
| dc.description.sponsorship | This research is partially funded by Cancer Research UK (grant number C569/
A16891). This work was supported by the National Institute for Health
Research (NIHR) under its Programme Grants for Applied Research
programme (reference number RP-PG-0707-10031: “Improvement in risk prediction,
early detection and prevention of breast cancer”) and the Genesis
Prevention Appeal (references GA10-033 and GA13-006). The views expressed
are those of the author(s) and not necessarily those of Cancer Research UK,
the National Health Service (NHS), the NIHR or the Department of Health. | en_US |
| dc.relation.ispartof | BREAST CANCER RESEARCH | en_US |
| dc.rights | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | |
| dc.subject | Breast density | en_US |
| dc.subject | Texture | en_US |
| dc.subject | Digital mammogram | en_US |
| dc.subject | Risk prediction | en_US |
| dc.subject | Breast cancer | en_US |
| dc.title | A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies | en_US |
| dc.type | Article | |
| dc.rights.holder | © The Author(s). 2017 | |
| dc.identifier.doi | 10.1186/s13058-017-0906-6 | en_US |
| pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000413251800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 19 | en_US |
