most citedAutomated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

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cs.CV2020★ 1 cited

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Keisuke Uemura, Yoshito Otake, Masaki Takao +4

Purpose: To apply a convolutional neural network (CNN) to develop a system that segments intensity calibration phantom regions in computed tomography (CT) images, and to test the s…