Radiomics-based Classification

Radiomics-based classification techniques refer to the extraction of high-dimensional features from medical images and the analysis of these features using machine learning algorithms to achieve precise categorization of disease states. This technology aims to improve diagnostic accuracy, optimize treatment selection, and enhance the reliability of patient prognosis assessment. Radiomics classification has significant applications in oncology, neurology, and other fields, providing data support for clinical decision-making.