The impact of intensity discretisation and filtration on the performance of the radiomic and machine learning models in brain metastasis patients treated with gamma knife radiosurgery.

this data contains the radiomics features extracted from 30 patients using LifeX using different bin size and numbers, four different filters were applied also to determine the impact of intensity descrtitisation and filters on radiomics and machine learning learning model.

本数据集收录了通过LifeX从30例患者中提取的放射组学特征（radiomics features）。实验过程中采用了不同的分箱尺寸与分箱数量，并应用了四种不同的滤波器，旨在探究强度离散化与滤波器对放射组学分析及机器学习模型的影响。