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4 Result(s)

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  1. No Access

    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)

  2. No Access

    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)

  3. No Access

    Chapter and Conference Paper

    Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer

    Long-term survival of oropharyngeal squamous cell carcinoma patients (OPSCC) is quite poor. Accurate prediction of Progression Free Survival (PFS) before treatment could make identification of high-risk patien...

    Baoqiang Ma, Jiapan Guo, Alessia De Biase… in Head and Neck Tumor Segmentation and Outco… (2022)

  4. No Access

    Chapter and Conference Paper

    Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images

    One of the primary treatment options for head and neck cancer is (chemo)radiation. Accurate delineation of the contour of the tumors is of great importance in the successful treatment of the tumor and in the p...

    Alessia De Biase, Wei Tang, Nikos Sourlos… in Head and Neck Tumor Segmentation and Outco… (2022)