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Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits.

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Title: Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits.
Authors: Maruccio FC; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands., Simões R; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands., van Aalst JE; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, the Netherlands., Brouwer CL; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, the Netherlands., Sonke JJ; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands., van Ooijen P; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, the Netherlands., Janssen TM; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Source: Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2025 May 08; Vol. 34, pp. 100771. Date of Electronic Publication: 2025 May 08 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101704276 Publication Model: eCollection Cited Medium: Internet ISSN: 2405-6316 (Electronic) Linking ISSN: 24056316 NLM ISO Abbreviation: Phys Imaging Radiat Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Maruccio+FC%22">Maruccio FC</searchLink>; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Simões+R%22">Simões R</searchLink>; Department of Radiation Oncology, The Netherlands Cancer Institute, 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.<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="%22Sonke+JJ%22">Sonke JJ</searchLink>; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Ooijen+P%22">van Ooijen P</searchLink>; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Janssen+TM%22">Janssen TM</searchLink>; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
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  Data: <searchLink fieldCode="JN" term="%22101704276%22">Physics and imaging in radiation oncology</searchLink> [Phys Imaging Radiat Oncol] 2025 May 08; Vol. 34, pp. 100771. <i>Date of Electronic Publication: </i>2025 May 08 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%22">Elsevier B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101704276 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2405-6316 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224056316%22">24056316 </searchLink><i>NLM ISO Abbreviation: </i>Phys Imaging Radiat Oncol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.phro.2025.100771
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              Text: 2025 May 08
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