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. |
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| 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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