Tag: SVM+

A retrospective study of 201 patients built a nomogram combining ultrafast DCE-MRI and ADC radiomics features with clinical risk factors ...

A new attention-based neural network that reconfigures its risk logic according to macroeconomic conditions outperformed standard machine learning and statistical ...

Researchers have shown that fNIRS brain imaging can decode ankle movements in healthy adults and impaired patients, paving the way ...

Researchers have developed an interpretable hierarchical pipeline combining Gaussian filtering, YCbCr-based CLAHE enhancement, K-means nuclei segmentation, and SVM classification that ...

Researchers have developed a framework that uses explainable AI to reconstruct missing privileged information, keeping LUPI classifiers accurate even when ...