Nature

Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors

To develop and validate a machine learning (ML) model which combined computed tomography (CT) semantic and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal ...
Nature

Machine learning models using dual-phase CT radiomics for early detection of PRISm

Preserved Ratio Impaired Spirometry (PRISm) is considered an early stage of chronic obstructive pulmonary disease (COPD), which may either revert to normal or progress to COPD. Therefore, early ...
Machine Design

Integrating Industrial CT and Connected Platforms to Streamline Machine Design and Manufacturing

Learn how industrial computed tomography (CT), digital twins and collaborative platforms are improving workflows across design, simulation, manufacturing and inspection in machine engineering from ...