Nature

Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study

Cervical cancer is a leading cause of death from malignant tumors in women, and accurate evaluation of occult lymph node metastasis (OLNM) is crucial for optimal treatment. This study aimed to develop ...
Nature

A deep-SVM hybrid framework with enhanced EEG feature engineering and SHAP-based explainability for Alzheimer’s classification

Conventional machine learning methods extracted spectral power, entropy, coherence, and Hjorth parameters as features and used SVM, RF, and LDA as classifiers. These methods achieved better ...