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Identifying EGFRmutations in lungadenocarcinoma bynoninvasive imagingusing radiomicsfeatures and randomforest modeling Tian-Ying JiaJunfeng XiongXiaoyang Li2019 год

Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling
статья из журнала

Страница публикацииПубликация в OpenAlex
Год издания: 2019
Авторы: Tian-Ying Jia, Junfeng Xiong, Xiaoyang Li, Wen Yu, Zhiyong Xu, Xu‐Wei Cai, Jingchen Ma, Yacheng Ren, Rasmus Larsson, Jie Zhang, Jun Zhao, Xiaolong Fu
Издательство: Springer Science+Business Media
Источник: European Radiology
Ключевые слова: Radiomics and Machine Learning in Medical Imaging, Lung Cancer Treatments and Mutations, Colorectal Cancer Treatments and Studies
Другие ссылки: European Radiology (HTML)
PubMed (HTML)