Review: Noise and artifact reduction for MRI using deep learning

Autor:	Tamada, Daiki
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition Physics - Medical Physics
Druh dokumentu:	Working Paper
Popis:	For several years, numerous attempts have been made to reduce noise and artifacts in MRI. Although there have been many successful methods to address these problems, practical implementation for clinical images is still challenging because of its complicated mechanism. Recently, deep learning received considerable attention, emerging as a machine learning approach in delivering robust MR image processing. The purpose here is therefore to explore further and review noise and artifact reduction using deep learning for MRI. Comment: Submitted to Magnetic Resonance in Medical Sciences on 2/27/2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2002.12889 Zobrazit plný text záznamu View this record from Arxiv