Image Super-Resolution for MRI Images using 3D Faster Super-Resolution Convolutional Neural Network architecture

Single image super-resolution using deep learning techniques has shown very high reconstruction performance over the last few years. We propose a novel three-dimensional convolutional neural network called 3D FSRCNN based on FSRCNN, which reinstates the high-resolution quality of structural MRI. The...

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Bibliographic Details
Main Authors: Mane Vanita, Jadhav Suchit, Lal Praneya
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:ITM Web of Conferences
Subjects:
mri
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2020/02/itmconf_icacc2020_03044.pdf

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