Interpretability and Repeatability of Radiomic Features: Applied on In Vivo Tumor Models
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DOI: 10.1109/tim.2023.3269101
Abstract: Radiomic features are typically used in machine learning models and are proven to generate reliable results when predicting tumor grade and responses to treatment. However, the inherent non-biological-interpretability of the radiomic features strongly hinders their… read more here.
Keywords: interpretability; tumor models; repeatability radiomic; tumor ... See more keywords