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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
