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Found 4 papers, 1 papers with code
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
Purpose: Develop a methodology and tools to identify and explain the smallest set of predictive radiomic features.
Graph data modelling for outcome prediction in oropharyngeal cancer patients
Graph neural networks (GNNs) are becoming increasingly popular in the medical domain for the tasks of disease classification and outcome prediction.
Assessing robustness of radiomic features by image perturbation
Thus, this perturbation chain may be used to assess feature robustness.
Image biomarker standardisation initiative
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of image biomarkers from acquired imaging for the purpose of high-throughput quantitative image analysis (radiomics).
