Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 29 of 37 found articles
 
 
  Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want?
 
 
Title: Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want?
Author: Huet-Dastarac, M.
van Acht, N.M.C.
Maruccio, F.C.
van Aalst, J.E.
van Oorschodt, J.C.J.
Cnossen, F.
Janssen, T.M.
Brouwer, C.L.
Barragan Montero, A.
Hurkmans, C.W.
Appeared in: Radiotherapy and oncology
Paging: Volume 201 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 29 of 37 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands