Publication
Real-world clinical impact of implementing and updating a deep learning-based automatic contouring system in rectal cancer radiotherapy.
Ningyu Wang, Tongzhen Xu, Yujie Kang, Yuting Liang, Wenyu Wang, Wensheng Nie, Jianrong Dai, Yuan Tang, Kuo Men
Journal of applied clinical medical physicsSep 1, 2026PMID 42665916doi:10.1002/acm2.70768 PMC13525157Journal ArticlepubmedProvenance
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- PubMed
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- Sep 11, 2026
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- normalized (units and labels harmonized; values unchanged)
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- ING-PUBMED-20260911-000001
Abstract
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BACKGROUND: Accurate delineation of target volumes and organs-at-risk (OARs) is a critical yet labor-intensive component of rectal cancer radiotherapy. While deep learning (DL)-based automatic contouring systems are increasingly used to address inter-observer variability and improve efficiency,…
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- cancerMalignant Rectal Neoplasmdictionary0.60
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