Deep Learning Convolutional Neural Network Reconstruction for Noise Reduction of High-Resolution MR Imaging: A Feasibility Study

Mika Kitajima

[P2-A2-014] Deep Learning Convolutional Neural Network Reconstruction for Noise Reduction of High-Resolution MR Imaging: A Feasibility Study

Mika Kitajima¹, Masafumi Kidoh¹, Hiroyuki Uetani¹, Machiko Tateishi¹, Yuichi Yamashita², Kensuke Shinoda², Yasuyuki Yamashita¹ (1.Department of Diagnostic Radiology, Kumamoto University, 2.Canon Medical Systems Corporation)

Abstract password authentication.
Password is written on the namecard.

Presentation information

Machine Learning

[P2-A2-014] Deep Learning Convolutional Neural Network Reconstruction for Noise Reduction of High-Resolution MR Imaging: A Feasibility Study

Password