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Korean journal of radiology

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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.

Korean journal of radiology Feb 1, 2019
OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction kernels without using a sinogram.
Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Female Aged Male Middle Aged Image Processing, Computer-Assisted Pulmonary Emphysema Multidetector Computed Tomography
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