Vai al contenuto principale della pagina

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Sudre Carole H Visualizza persona
Titolo: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [[electronic resource] ] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (232 pages)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Image processing - Digital techniques
Computer vision
Computers
Application software
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computing Milieux
Computer and Information Systems Applications
Altri autori: BaumgartnerChristian F  
DalcaAdrian  
MehtaRaghav  
QinChen  
WellsWilliam M  
Nota di contenuto: Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration.
Sommario/riassunto: This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.
Titolo autorizzato: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging  Visualizza cluster
ISBN: 3-031-44336-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996558469603316
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14291