Unified-protocol voxel-level pulmonary embolism annotations for three public CT angiography datasets
Reliable clot-volume quantification and subsequent risk assessment in pulmonary embolism depend on precise segmentation of emboli on computed tomography pulmonary angiography. Deep learning models for this task must be trained on accurate voxel-level labels. The three public datasets that provide such labels were annotated under different protocols, and some of their studies contain unlabeled emboli or labels that are discontinuous across slices. This Data Descriptor presents voxel-level pulmonary embolism annotations for 149 of the 166 studies in these datasets. A primary rater drew all annotations under a single protocol. A thoracic radiologist with more than 20 years of experience revi...
| Authors | Qihang Sun, Zhongxiao Liu, Bailiang Jian et al. |
|---|---|
| Primary category | eess.IV |
| Published | 25 August 2026 |
| Last updated at source | 29 September 2026 |
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