Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want?
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| Title: | Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want? |
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| Authors: | Huet-Dastarac M; Molecular Imaging, Radiation and Oncology lab (MIRO), UCLouvain, Brussels, Belgium. Electronic address: margerie.huet@uclouvain.be., van Acht NMC; Catharina Hospital Eindhoven - department of radiation oncology, Eindhoven, The Netherlands; Eindhoven University of Technology - Department of Electrical Engineering and Department of Applied Physics and Science Education, Eindhoven, The Netherlands., Maruccio FC; The Netherlands Cancer Institute (NKI), Department of Radiation Oncology, Amsterdam, The Netherlands., van Aalst JE; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands; University of Twente, Department of Technical Medicine, Enschede, The Netherlands., van Oorschodt JCJ; Catharina Hospital Eindhoven - department of radiation oncology, Eindhoven, The Netherlands; Eindhoven University of Technology - Department of Electrical Engineering and Department of Applied Physics and Science Education, Eindhoven, The Netherlands., Cnossen F; University of Groningen, Department of Artificial Intelligence, Groningen, The Netherlands., Janssen TM; The Netherlands Cancer Institute (NKI), Department of Radiation Oncology, Amsterdam, The Netherlands., Brouwer CL; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands., Barragan Montero A; Molecular Imaging, Radiation and Oncology lab (MIRO), UCLouvain, Brussels, Belgium., Hurkmans CW; Catharina Hospital Eindhoven - department of radiation oncology, Eindhoven, The Netherlands; Eindhoven University of Technology - Department of Electrical Engineering and Department of Applied Physics and Science Education, Eindhoven, The Netherlands. |
| Source: | Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology [Radiother Oncol] 2024 Dec; Vol. 201, pp. 110545. Date of Electronic Publication: 2024 Sep 24. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8407192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0887 (Electronic) Linking ISSN: 01678140 NLM ISO Abbreviation: Radiother Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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