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AssigneeShanghai United Imaging Intelligence Co., Ltd.
InventorsYaozong Gao, Yanbo Chen, Jiyong Wang, Weiyang Xie, Yiqiang Zhan
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The present disclosure provides a region of interest (ROI) detection system. The system may be configured to acquire a target image and an ROI detection model, and perform ROI detection on the target image by applying the ROI detection model to the target image. The ROI detection model may be a trained cascaded neural network including a plurality of sequentially connected trained models. The plurality of trained models may include a trained first model and at least one trained second model downstream to the trained first model in the trained cascaded neural network. The plurality of trained models may be sequentially trained. Each of the trained second model may be trained using a plurality of training samples determined based on one or more trained models of the plurality of trained models generated before the generation of the trained second model.
A region of interest (ROI) detection system, comprising:
A method implemented on a computing device including at least one processor, at least one storage medium, and a communication platform connected to a network, the method comprising:
A non-transitory computer-readable storage medium including instructions that, when accessed by at least one processor of a region of interest (ROI) detection system, causes the system to perform a method, the method comprising:
Dependencies are inferred from the claim text.