AIMC Topic: Liver
Clear Filters Showing 201 to 210 of 589 articles
Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.
European radiology
Mar 9, 2023
OBJECTIVES: We aimed to develop and validate a deep learning system (DLS) by using an auxiliary section that extracts and outputs specific ultrasound diagnostic features to improve the explainable, clinical relevant utility of using DLS for detecting...
Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation.
Korean journal of radiology
Mar 7, 2023
OBJECTIVE: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction met...
Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison.
Abdominal radiology (New York)
Feb 21, 2023
PURPOSE: To compare noise, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR) and image quality using deep-learning image reconstruction (DLIR) vs. adaptive statistical iterative reconstruction (ASIR-V) in 0.625 and 2.5 mm slice thickness gra...
A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B.
European radiology
Feb 3, 2023
OBJECTIVE: To develop and investigate a deep learning model with data integration of ultrasound contrast-enhanced micro-flow (CEMF) cines, B-mode images, and patients' clinical parameters to improve the diagnosis of significant liver fibrosis (≥ F2) ...
Learning curves in robot-assisted minimally invasive liver surgery at a high-volume center in Denmark: Report of the first 100 patients and review of literature.
Scandinavian journal of surgery : SJS : official organ for the Finnish Surgical Society and the Scandinavian Surgical Society
Jan 31, 2023
BACKGROUND AND OBJECTIVE: Minimally invasive liver surgery is evolving worldwide, and robot-assisted liver surgery (RLS) can deliver obvious benefits for patients. However, so far no large case series have documented the learning curve for RLS.
Free-breathing and instantaneous abdominal T mapping via single-shot multiple overlapping-echo acquisition and deep learning reconstruction.
European radiology
Jan 24, 2023
OBJECTIVES: To develop a real-time abdominal T mapping method without requiring breath-holding or respiratory-gating.
Topologically preserved registration of 3D CT images with deep networks.
Physics in medicine and biology
Jan 23, 2023
. Computed Tomography (CT) image registration makes fast and accurate imaging-based disease diagnosis possible. We aim to develop a framework which can perform accurate local registration of organs in 3D CT images while preserving the topology of tra...
Ultra-Attention: Automatic Recognition of Liver Ultrasound Standard Sections Based on Visual Attention Perception Structures.
Ultrasound in medicine & biology
Jan 20, 2023
Acquisition of a standard section is a prerequisite for ultrasound diagnosis. For a long time, there has been a lack of clear definitions of standard liver views because of physician experience. The accurate automated scanning of standard liver secti...
Towards optimal deep fusion of imaging and clinical data via a model-based description of fusion quality.
Medical physics
Jan 7, 2023
BACKGROUND: Due to intrinsic differences in data formatting, data structure, and underlying semantic information, the integration of imaging data with clinical data can be non-trivial. Optimal integration requires robust data fusion, that is, the pro...
Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.
Journal of magnetic resonance imaging : JMRI
Dec 30, 2022
BACKGROUND: There is an unmet need for fully automated image prescription of the liver to enable efficient, reproducible MRI.
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