AIMC Topic: Liver

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Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value.

European journal of radiology Oct 13, 2023
PURPOSE: Diffusion-weighted imaging (DWI) of the liver suffers from low resolution, noise, and artifacts. This study aimed to investigate the effect of deep learning reconstruction (DLR) on image quality and apparent diffusion coefficient (ADC) quant...
Humans Prospective Studies Liver Feasibility Studies Diffusion Magnetic Resonance Imaging Neoplasms Deep Learning
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Editorial for "Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Neoplasm Recurrence, Local Disease-Free Survival Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Radiomics Liver Deep Learning
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Two-step artificial intelligence algorithm for liver segmentation automates anatomic virtual hepatectomy.

Journal of hepato-biliary-pancreatic sciences Sep 25, 2023
BACKGROUND: Anatomic virtual hepatectomy with precise liver segmentation for hemilivers, sectors, or Couinaud's segments using conventional three-dimensional simulation is not automated and artificial intelligence (AI)-based algorithms have not yet b...
Liver Hepatectomy Artificial Intelligence Algorithms Portal Vein Humans
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Artificial Intelligence and liver: Opportunities and barriers.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Sep 16, 2023
Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the liver; however, many obstacles still have to be overcome for the digitalization of real-world hepatology. The authors present an overview of the current st...
Artificial Intelligence Machine Learning Liver Humans Diagnostic Imaging
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Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.

Medical image analysis Sep 12, 2023
The role of fibrillar collagen in the tissue microenvironment is critical in disease contexts ranging from cancers to chronic inflammations, as evidenced by many studies. Quantifying fibrillar collagen organization has become a powerful approach for ...
Liver Microscopy Fibrillar Collagens Collagen Humans Neural Networks, Computer
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An overview of ultrasound-derived radiomics and deep learning in liver.

Medical ultrasonography Aug 22, 2023
Over the past few years, developments in artificial intelligence (AI), especially in radiomics and deep learning, have enabled the extraction of pathophysiology-related information from varied medical imaging and are progressively transforming medica...
Artificial Intelligence Liver Diagnostic Imaging Humans Radiomics Deep Learning
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Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.

International journal of computer assisted radiology and surgery Aug 16, 2023
PURPOSE: Deep neural networks need to be able to indicate error likelihood via reliable estimates of their predictive uncertainty when used in high-risk scenarios, such as medical decision support. This work contributes a systematic overview of state...
Tomography, X-Ray Computed Liver Uncertainty Bayes Theorem Humans Neural Networks, Computer
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Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning.

European journal of radiology Aug 14, 2023
PURPOSE: To evaluate the effectiveness of automated liver segmental volume quantification and calculation of the liver segmental volume ratio (LSVR) on a non-contrast T1-vibe Dixon liver MRI sequence using a deep learning segmentation pipeline.
Liver Radiography Deep Learning Humans Magnetic Resonance Imaging Radionuclide Imaging
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Feature-guided deep learning reduces signal loss and increases lesion CNR in diffusion-weighted imaging of the liver.

Zeitschrift fur medizinische Physik Aug 4, 2023
PURPOSE: This research aims to develop a feature-guided deep learning approach and compare it with an optimized conventional post-processing algorithm in order to enhance the image quality of diffusion-weighted liver images and, in particular, to red...
Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Humans Deep Learning Male Image Processing, Computer-Assisted Liver Algorithms Liver Neoplasms Middle Aged Liver Diseases Female
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Preoperative planning and intraoperative real-time navigation with indocyanine green fluorescence in robotic liver surgery.

Langenbeck's archives of surgery Jul 31, 2023
PURPOSE: We aimed at exploring indocyanine green (ICG) fluorescence wide spectrum of applications in hepatobiliary surgery as can result particularly useful in robotic liver resections (RLR) in order to overcome some technical limitations, increasing...
Robotic Surgical Procedures Liver Humans Margins of Excision Indocyanine Green Fluorescence Robotics
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