Comparative Machine Learning for MRI-Derived Hippocampal Morphometry in Hippocampal Sclerosis: A Nested Cross-Validation Study

Figshare 2026 Dataset Open access

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Authors: Nam Tran
DOI: 10.6084/m9.figshare.31324918
Cited by: 0

Abstract

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)

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Dementia and Cognitive Impairment Research Advanced MRI Techniques and Applications

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Language
EN
Document type
Dataset