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Jun 24, 2018 · In this paper, we proposed a novel network named as three-dimensional super resolution convolutional neural network (3DSRCNN) to realize voxel super resolution ...
In this paper, we proposed a novel network named as three-dimensional super resolution convolutional neural network (3DSRCNN) to realize voxel super resolution ...
This study proposes a novel network named as three-dimensional super-resolution convolutional neural network (3DSRCNN) to realize voxel SR imaging of rock ...
Apr 28, 2021 · Abstract. In the medical field, the accuracy and quality of the image led to a rapid increase in using deep learning models-.
Unfortunately, few effective SR algorithms are available for three-dimensional (3D) images. This study proposes a novel network named as three-dimensional super ...
”Super-resolution convolutional neural network for the improvement of the image quality of magnified images in chest radiographs.” Med- ical Imaging 2017 ...
Jan 6, 2024 · A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images. Yijun Zhou a, Eva ...
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Nov 8, 2022 · Fusing two series of thick-slice CT images and applying SR models to the third plane can yield high-resolution thin-slice CT images.
Nov 1, 2020 · To generate high-quality CT scans with 1mm slice thickness from CT data reconstructed with 2mm or thicker slices using a deep 3D fully ...
This paper applies state-of-the-art SR techniques to reconstruct CT images using two proposed advanced CT SR models based on Convolutional Neural Networks ...