Comparative Machine Learning for MRI-Derived Hippocampal Morphometry in Hippocampal Sclerosis: A Nested Cross-Validation Study
收藏NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Comparative_Machine_Learning_for_MRI-Derived_Hippocampal_Morphometry_in_Hippocampal_Sclerosis_A_Nested_Cross-Validation_Study/31324918
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资源简介：
We analyzed 67 patients from Viet Duc Hospital (2021–2025), including a subset of surgically resected cases with histopathology. Reduced bilateral hippocampal and cortical morphometric features were used to train seven models (Logistic Regression L2, Elastic Net Logistic Regression, Calibrated Linear support vector machine (SVM), radial basis function (RBF) SVM, Random Forest, XGBoost, LightGBM)
创建时间：
2026-02-12
