Patient motion causes image distortion during Magnetic Resonance Imaging (MRI) capture.
These distorted motion artifact induced MRI scans are difficult to read and sometimes lead to …

Objective This study aimed to investigate the impact of deep-learning reconstruction (DLR)
on the detailed evaluation of solitary lung nodule using high-resolution computed …

To compare the quality and interobserver agreement in the evaluation of lumbar spinal
stenosis (LSS) on computed tomography (CT) images between deep-learning …

BACKGROUND AND PURPOSE: 3D FLAIR sequences have become the criterion standard
for identifying endolymphatic hydrops, but scan time remains an important limitation to their …

Objective. This study aimed to optimize the CT images of anal fistula patients using a
convolutional neural network (CNN) algorithm to investigate the anal function recovery …

Objective Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal
canal stenosis; however, some patients are ineligible for MRI. We aimed to assess the effect …

PURPOSE Deep learning reconstruction (DLR) to improve imaging quality has already been
introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging …

Simple Summary Successful surgery in robot-assisted partial nephrectomy (RAPN),
especially for highly complex tumors, relies on a detailed understanding of the anatomical …

This article focuses on evaluating the efficacy of intelligent image processing techniques
using deep learning algorithms in the context of football, to present pragmatic solutions for …

Pancreatic duct dilation indicates a high risk of various pancreatic diseases. Segmentation
for dilated pancreatic duct (DPD) on computed tomography (CT) image shows the potential …