RAU-Net for precise lung cancer GTV segmentation in radiation therapy planning
RAU-Net for precise lung cancer GTV segmentation in radiation therapy planning
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Lung cancer, as one of the most lethal malignancies worldwide, primarily relies on radiation therapy, with about 60%-70% of patients requiring this treatment. In radiation therapy planning, precise segmentation of the Gross Tumor Volume (GTV) in CT images is crucial. However, the low contrast between the tumor and surrounding tissues, small size of...
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Full title
RAU-Net for precise lung cancer GTV segmentation in radiation therapy planning
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TN_cdi_doaj_primary_oai_doaj_org_article_933d7102cace4c2fa0f690fd9c20cd1e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_933d7102cace4c2fa0f690fd9c20cd1e
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-99137-y
