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    Chapter and Conference Paper

    Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach

    Delineation of Gross Tumor Volume (GTV) is essential for the treatment of cancer with radiotherapy. GTV contouring is a time-consuming specialized manual task performed by radiation oncologists. Deep Learning ...

    Hung Chu, Luis Ricardo De la O Arévalo in Head and Neck Tumor Segmentation and Outco… (2023)

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    Chapter and Conference Paper

    Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients

    Aim: The development and evaluation of deep learning (DL) and radiomics based models for recurrence-free survival (RFS) prediction in oropharyngeal squamous cell carcinoma (OPSCC) patients based on clinical fe...

    Baoqiang Ma, Yan Li, Hung Chu, Wei Tang in Head and Neck Tumor Segmentation and Outco… (2023)