Skip to main content
. Author manuscript; available in PMC: 2023 Jul 1.
Published in final edited form as: Emerg Radiol. 2022 Nov 12;30(1):41–50. doi: 10.1007/s10140-022-02099-1

Fig. 1.

Fig. 1

Overall pipeline of the proposed automatic splenic AAST grading algorithm. Splenic localization is first performed, which crops irrelevant slices on abdominopelvic CT cranial and caudal to the spleen and neighboring soft tissue that may harbor foci of active bleeding. Active bleeding is detected on portal venous CT scans, and pseudoaneurysm is detected on arterial CT scans by Faster RCNN on localized axial sections. SPD is segmented by nn-UNet, and volume is calculated. Active bleeding and pseudoaneurysm detection and SPD volume is then fed into a directed graph for AAST grading prediction