A new 490-scan PE dataset and benchmark of nine 2D/3D CNN and ViT models shows 3D U-Net with ResNet blocks as top performer with consistent error patterns across architectures and releases open weights.
Automated de- tection of pulmonary embolism from ct-angiograms using deep learning.BMC Medical Imaging, 22(1):43, 2022
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Rethinking Pulmonary Embolism Segmentation: A Study of Current Approaches and Challenges with an Open Weight Model
A new 490-scan PE dataset and benchmark of nine 2D/3D CNN and ViT models shows 3D U-Net with ResNet blocks as top performer with consistent error patterns across architectures and releases open weights.