Abstract: Rough set theory, as an academic hotspot in the field of artificial intelligence, has provided a solid theoretical foundation for feature selection. However, with the continuous updating of ...
Abstract: Feature selection is a crucial step for data preprocessing, and it is widely applied in machine learning. It can eliminate features that are redundant or irrelevant from data, thereby ...
The code implements the main computational workflow described in the manuscript, including MRI preprocessing, radiomics feature extraction, ConvNeXt-Tiny multi-task learning, patient-level deep ...
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