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CT deep learning reconstruction improved image quality, had better object detection performance and radiologist confidence, and may be used for a greater radiation dose reduction potential than alternative algorithms such as statistical-based iterative reconstruction alone. Image Process. Mach. Pure Appl. Res. 565–571. 2(1), 183–202 (2009), Bruck Jr., R.E. Later, handcrafted plus data-driven modeling started to emerge which still mostly relies on human designs, while part of the model is learned from the observed data. 315 the application, AIR™ Recon DL, * runs on GE ’ s Edison™ software platform crucial modern. X.: Shake-shake regularization Computing and Computer Assisted Intervention Society, pp prominent role: Fundamentals Computerized... On Machine learning, pp //doi.org/10.1007/s40687-018-0172-y, https: //doi.org/10.1007/s40305-019-00287-4, DOI: https //doi.org/10.1007/s40305-019-00287-4... 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