Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2018.00294
Abstract: Radiomics leverages existing image datasets to provide non-visible data extraction via image post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region of interest level. However, the application of radiomics is… read more here.
Keywords: machine learning; neck radiation; radiomics challenges; oncology ... See more keywords
Pattern of locoregional failure in postoperative cases of locally advanced carcinoma of buccal mucosa treated with unilateral versus bilateral neck radiation: lesson learned from a basic practice setup
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DOI: 10.5603/rpor.a2022.0117
Abstract: Background Carcinoma of buccal mucosa forms a sizeable percentage of the diagnosed oral cavity cancers in India. There is limited data on elective treatment of the contralateral neck for well-lateralized carcinoma with no involved nodes… read more here.
Keywords: neck; neck radiation; bilateral neck; buccal mucosa ... See more keywords