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Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning*
2018
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential for treatment optimization. PET and CT imaging are routinely used for LNM identification. However, uncertainties of LNM always exist especially for small size or reactive nodes. Radiomics and deep learning are the two preferred imaging-based strategies for node malignancy prediction. Radiomics models are built based on handcrafted features,
doi:10.1109/embc.2018.8513070
pmid:30440295
pmcid:PMC7103090
fatcat:finvjiwxnrfjpn5alku3ioqnqe