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- W3097524788 abstract "The prediction of the stage and evolution of cancer is a matter of strong social interest. The head and neck cancer is not one of the most prevalent and deathly cancers, but it is quite challenging due to its morphological variability and the risk of proliferation. In this paper we report results on a radiomics features based machine learning approaches trying to predict (a) the stage of the cancer, (b) the need for surgery, and (c) the survival after 2000 days. Results are encouraging, but a lot of work need to be done in order to attain an accuracy leading to clinical use." @default.
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- W3097524788 date "2020-01-01" @default.
- W3097524788 modified "2023-10-17" @default.
- W3097524788 title "Exploratory Analysis of Radiomics Features on a Head and Neck Cancer Public Dataset" @default.
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- W3097524788 doi "https://doi.org/10.1007/978-3-030-61705-9_60" @default.
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