1 results match your criteria: "Department of Biomedical EngineeringWonkwang University College of MedicineIksan54538South Korea.[Affiliation]"
Article Synopsis
- The study explores a new lung segmentation method aimed at improving the detection of juxta-pleural nodules in chest CT scans, which is a common challenge in the field.
- It combines the Chan-Vese model with a Bayesian approach to enhance the accuracy of lung contour predictions and effectively reduce false positives through advanced detection techniques.
- The proposed method demonstrated exceptional statistical performance with high sensitivity, specificity, and accuracy, significantly outperforming previous models and providing valuable benefits for computer-aided diagnosis systems.