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Super-resolution of medical images using real ESRGAN
Rich details in an image are constantly vital for medical image analysis to detect a broad
extent of medical ailments. The diagnosis will be best served if the image is accessible in …
extent of medical ailments. The diagnosis will be best served if the image is accessible in …
MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network
U Nimitha, PM Ameer - Magnetic Resonance Imaging, 2024 - Elsevier
Challenges arise in achieving high-resolution Magnetic Resonance Imaging (MRI) to
improve disease diagnosis accuracy due to limitations in hardware, patient discomfort, long …
improve disease diagnosis accuracy due to limitations in hardware, patient discomfort, long …
Motion Artifact Reduction Using U-Net Model with Three-Dimensional Simulation-Based Datasets for Brain Magnetic Resonance Images
SH Kang, Y Lee - Bioengineering, 2024 - mdpi.com
This study aimed to remove motion artifacts from brain magnetic resonance (MR) images
using a U-Net model. In addition, a simulation method was proposed to increase the size of …
using a U-Net model. In addition, a simulation method was proposed to increase the size of …