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Domain experts identified as anatomically significant nine prostate and ten lung organs-at-risk (OAR) structures and manually labeled them according to the TG-263 standards, and remaining structures were ... To standardize radiotherapy structure names, we developed an integrated natural language processing (NLP) and machine learning (ML) based system that can map the physician-given structure names to American ... Machine-learning-based methods are well suited for retrospective structure name relabeling but are seldom used in this domain. ...doi:10.3390/healthcare8020120 pmid:32365973 pmcid:PMC7348919 fatcat:2e7q3bz7x5enzngl3blofuqnga
We present novel approaches to integrate complementary types (views) of structure data to build better-performing machine learning models. ... We present two methods, namely (a) intermediate integration and (b) late integration, to combine physician-given textual structure name features and geometric information of structures. ... The scikit-learn library for machine learning  was used to build the models. ...doi:10.3390/cancers13081796 pmid:33918716 fatcat:bs5t3opscrgzjg4wsksklgrkw4