Abstract：Imaging-based artificial intelligence medical device is making significant progress recently. The performance evaluation
usually relies on testsets. The definition of parameters and testing methods are critical for the quality evaluation of such products.
Common intended use includes detection, classification, lesion segmentation and geometry measurement. In this paper, evaluation
methods for common products were studied, and automated testing software was designed, which could provide useful reference for
standardized testing of artificial intelligence medical devices.
孟祥峰，王浩，王权，张超，任海萍. 影像类人工智能医疗器械评价方法研究[J]. 中国医疗设备, 2018, 33(12): 14-17.
MENG Xiangfeng, WANG Hao, WANG Quan, ZHANG Chao, REN Haiping. Evaluation of Imaging-Based Artificial Intelligence Medical Device. China Medical Devices, 2018, 33(12): 14-17.