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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39326521 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Huet-Dastarac+M%22">Huet-Dastarac M</searchLink>; Molecular Imaging, Radiation and Oncology lab (MIRO), UCLouvain, Brussels, Belgium. Electronic address: margerie.huet@uclouvain.be.<br /><searchLink fieldCode="AU" term="%22van+Acht+NMC%22">van Acht NMC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Maruccio+FC%22">Maruccio FC</searchLink>; The Netherlands Cancer Institute (NKI), Department of Radiation Oncology, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Aalst+JE%22">van Aalst JE</searchLink>; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands; University of Twente, Department of Technical Medicine, Enschede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Oorschodt+JCJ%22">van Oorschodt JCJ</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cnossen+F%22">Cnossen F</searchLink>; University of Groningen, Department of Artificial Intelligence, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Janssen+TM%22">Janssen TM</searchLink>; The Netherlands Cancer Institute (NKI), Department of Radiation Oncology, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Brouwer+CL%22">Brouwer CL</searchLink>; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Barragan+Montero+A%22">Barragan Montero A</searchLink>; Molecular Imaging, Radiation and Oncology lab (MIRO), UCLouvain, Brussels, Belgium.<br /><searchLink fieldCode="AU" term="%22Hurkmans+CW%22">Hurkmans CW</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228407192%22">Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology</searchLink> [Radiother Oncol] 2024 Dec; Vol. 201, pp. 110545. <i>Date of Electronic Publication: </i>2024 Sep 24. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Scientific+Publishers%22">Elsevier Scientific Publishers </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>8407192 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0887 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201678140%22">01678140 </searchLink><i>NLM ISO Abbreviation: </i>Radiother Oncol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39326521 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.radonc.2024.110545 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 110545 Titles: – TitleFull: Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huet-Dastarac M – PersonEntity: Name: NameFull: van Acht NMC – PersonEntity: Name: NameFull: Maruccio FC – PersonEntity: Name: NameFull: van Aalst JE – PersonEntity: Name: NameFull: van Oorschodt JCJ – PersonEntity: Name: NameFull: Cnossen F – PersonEntity: Name: NameFull: Janssen TM – PersonEntity: Name: NameFull: Brouwer CL – PersonEntity: Name: NameFull: Barragan Montero A – PersonEntity: Name: NameFull: Hurkmans CW IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2024 Dec Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1879-0887 Numbering: – Type: volume Value: 201 Titles: – TitleFull: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Type: main |
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