Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
نویسندگان
چکیده
منابع مشابه
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
As a vital task in cancer therapy, accurately predicting the treatment outcome is valuable for tailoring and adapting a treatment planning. To this end, multi-sources of information (radiomics, clinical characteristics, genomic expressions, etc) gathered before and during treatment are potentially profitable. In this paper, we propose such a prediction system primarily using radiomic features (...
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ژورنال
عنوان ژورنال: Medical Image Analysis
سال: 2016
ISSN: 1361-8415
DOI: 10.1016/j.media.2016.05.007