Head and Neck Cancer Imaging and Image Analysis

Dear Colleagues,

In the last two decades, head and neck cancer treatment has undergone a remarkable rate of imaging and software-based technological innovation. Imaging modalities, such as computed tomography, magnetic resonance imaging and positron emission tomography, are, in general, the first step for cancer diagnosis and subsequent treatment decisions. An automatic generation and processing of these image datasets can aid clinicians in all therapy stages, from the data acquisition to a postinterventional follow-up monitoring and cancer prognosis. In this regard, this Special Issue targets the whole pipeline from image acquisition and medical image analysis up to epidemiology and demography studies in the field of head and neck cancer. Authors are invited to submit works in this field regarding imaging and medical image processing, such as segmentation, registration, deep learning, generative adversarial networks, radiomics, and image-guided therapies, but also regarding big data and clinical practice.

Prof. Dr. Jan Egger
Guest Editor

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