Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; 21st International C Alejandro F. Frangi,Julia A. Schnabel,Gabor

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Some Investigations on Robustness of Deep Learning in Limited Angle Tomographydata, reconstructed images suffer from artifacts, which cause boundary distortion, edge blurring, and intensity biases. Recently, deep learning methods have been applied very successfully to this problem in simulation studies. However, the robustness of neural networks for clinical applications is s

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978-3-030-00927-4Springer Nature Switzerland AG 2018

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https://doi.org/10.1007/978-3-030-00928-1Artificial intelligence; Classification; Computer vision; Estimation; Image analysis; Image enhancement; I

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629189.jpg