Aortic dissection detection method and system, electronic equipment and storage medium

The invention discloses an aortic dissection detection method and system, electronic equipment and a storage medium, and the method comprises the following steps: 1, firstly, a first deep learning model is used to detect a target bounding box and a corresponding category from human body series CT sl...

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Hauptverfasser: TANG HAO, TAN YUN, TAN LING, XIANG XUYU, PENG HAIKUO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an aortic dissection detection method and system, electronic equipment and a storage medium, and the method comprises the following steps: 1, firstly, a first deep learning model is used to detect a target bounding box and a corresponding category from human body series CT slices, and different categories represent different aortic parts; processing a target bounding box in the human body series CT slices by adopting a sequence information extraction algorithm, and taking the finally obtained target bounding box as a region of interest; and 2, detecting whether each region of interest obtained in the step 1 has a dissection or not by using a second deep learning model so as to judge whether the aorta part corresponding to each region of interest has a dissection or not. According to the method, accurate detection of the aorta part can be automatically and efficiently completed from a series of CT images of the human body, and the type of the aortic dissection is identified. 本发明公开了一种主动脉