Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International ConferenceHumansLung NeoplasmsTomographyX-Ray ComputedBayes Theorem
Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT Images.
Rossella Damiano, Alessandro Merli, Ettore Lanzarone, Elisa Scalco
Published: 202510.1109/EMBC58623.2025.11253060
Abstract
Radiomic analysis is highly sensitive to variations in Region of Interest (ROI) segmentation. Automatic segmentation methods based on Deep Learning (DL) can enhance radiomic reproducibility due to their high accuracy. Moreover, incorporating uncertai…
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