Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy.

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作者： Celia,Martín Vicario ^[1] ; Dalia,Rodríguez Salas ^[2] ; Andreas,Maier ^[3] ; Stefan,Hock ^[4] ; Joji,Kuramatsu ^[4] ; Bernd,Kallmuenzer ^[3] ; Florian,Thamm ^[5] ; Oliver,Taubmann ^[5] ; Hendrik,Ditt ^[6] ; Stefan,Schwab ^[6] ; Arnd,Dörfler ^[6] ; Iris,Muehlen ^[5]

作者单位： Department of Neuroradiology, Friedrich-Alexander University of Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany. celia.martin@fau.de. ^[1] Pattern Recognition Lab, Friedrich Alexander University, Erlangen, Germany. celia.martin@fau.de. ^[2] Department of Neuroradiology, Friedrich-Alexander University of Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany. ^[3] Pattern Recognition Lab, Friedrich Alexander University, Erlangen, Germany. ^[4] Department of Neurology, Friedrich-Alexander University of Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany. ^[5] Siemens Healthineers, Forchheim, Germany. ^[6]

主题词人类(Humans);偏差(Uncertainty);算法(Algorithms);血栓切除术(Thrombectomy)

DOI 10.1038/s41598-024-55761-8

PMID 38448445

发布时间 2024-03-09

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准确一般字义偏差语意偏离译文作用小提交