Radiomics will play an important role in the future management of cancers around the globe. Therefore, scientists involved in healthcare need to prepare with data requirements to address future challenges. The components of radiomics analytics which include image segmentation, feature extraction, feature selection, modelling and performance validation. Our next webinar on Radiomics will discuss the tools available for radiomics and the current challenges in translating this research for routine clinical practice. Speaker will also touch base on some of the application of radiomics with examples from her own work on radiation pneumonitis prediction in lung cancer and disease outcome prediction in head and neck cancer.
Radiomics will play an important role in the future directions of cancer management around the globe. Therefore, scientists involved in healthcare need to prepare with data requirements to address future challenges. The components of radiomics analytics which include image segmentation, feature extraction, feature selection, modelling and performance validation. Our next webinar on Radiomics will discuss the tools available for radiomics and the current challenges in translating this research for routine clinical practice. Speaker will also touch base on some of the application of radiomics with examples from her own work on radiation pneumonitis prediction in lung cancer and disease outcome prediction in head and neck cancer.
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