Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT

Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT

Abstract Complete tumour removal is vital in curative breast cancer (BCa) surgery to prevent recurrence. Recently, [18F]FDG micro-PET-CT of lumpectomy specimens has shown promise for intraoperative margin assessment (IMA). To aid interpretation, we trained a 2D Residual U-Net to delineate invasive c...

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Main Authors: Luna Maris, Menekse Göker, Kathia De Man, Bliede Van den Broeck, Sofie Van Hoecke, Koen Van de Vijver, Christian Vanhove, Vincent Keereman
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Breast Cancer
Online Access:https://doi.org/10.1038/s41523-025-00797-w
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https://doi.org/10.1038/s41523-025-00797-w

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