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pro vyhledávání: '"Le, Elizabeth PV"'
Autor:
Utukuri, Mrudula, D’souza, Felecia, Deighton, Alexander *, Le, Elizabeth PV, Osei-Boadu, Benedict, Gadi, Nishita, Axiaq, Ariana, Aung, Yuri YM, Agboola, Bridget, Chand, Chandini P, Dibblin, Connor, Patel, Chandni R, Abedi, Mohsin, Hirniak, Johnathan, Ta, Ngan H, Rudd, James HF, Sethi, Rajiv
Publikováno v:
In Future Healthcare Journal March 2022 9(1):18-20
Autor:
Le, Elizabeth PV, Rundo, Leonardo, Tarkin, Jason M, Evans, Nicholas R, Chowdhury, Mohammed M, Coughlin, Patrick A, Pavey, Holly, Wall, Chris, Zaccagna, Fulvio, Gallagher, Ferdia A, Huang, Yuan, Sriranjan, Rouchelle, Le, Anthony, Weir-McCall, Jonathan R, Roberts, Michael, Gilbert, Fiona J, Warburton, Elizabeth A, Schönlieb, Carola-Bibiane, Sala, Evis, Rudd, James HF
Radiomics, quantitative feature extraction from radiological images, can improve disease diagnosis and prognostication. However, radiomic features are susceptible to image acquisition and segmentation variability. Ideally, only features robust to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf1e4b09146beec3154c571a048537c
Autor:
Evans NR; Department of Medicine, University of Cambridge, Cambridge, United Kingdom., Tarkin JM; Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom., Le EP; Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom., Sriranjan RS; Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom., Corovic A; Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom., Warburton EA; Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom., Rudd JH; Division of Cardiovascular Medicine, University of Cambridge, Cambridge, United Kingdom.
Publikováno v:
The British journal of radiology [Br J Radiol] 2020 Sep 01; Vol. 93 (1113), pp. 20190921. Date of Electronic Publication: 2020 Apr 03.