Nature

A hybrid detection model for acute lymphocytic leukemia using support vector machine and particle swarm optimization (SVM-PSO)

Diagnostic challenges in leukemia—a fatal malignancy affecting blood cells—are immense due to its diverse manifestations and subtypes. Acute lymphoblastic leukemia is one of the most common types of ...
Nature

Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases

The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to ...