Stability Analysis of CT Radiomics Features With Respect to the Variation of Manual Segmentation in Oropharyngeal Cancer

Accurate segmentation of tumors and quantification of tumor features are important for cancer detection, diagnosis, monitoring, and planning therapeutic intervention. Due to inherent noise components in multiparametric imaging and inter-observer variations, it is common that various segmentation methods, including both manual segmentation and computer-aided segmentation methods, may produce large segmentation errors in tumor volumes and their associated radiomics features. Such errors may eventually lead to large prediction errors.

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