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Automated Segmentation of After-Loaded Metal Source Applicators in Cervical Cancer Treatment Using U-Net: Enhancing Efficiency and Accuracy in Treatment Planning

IEEE ACCESS(2024)

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关键词
Applicators,Training,Cervical cancer,Computed tomography,Biomedical imaging,Planning,Metals,Medical treatment,Deep learning,after-loaded treatment planning,deep learning,U-Net,automatic segmentation
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