AIMC Topic: Liver

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An Effective Semi-Supervised Approach for Liver CT Image Segmentation.

IEEE journal of biomedical and health informatics Aug 11, 2022
Despite the substantial progress made by deep networks in the field of medical image segmentation, they generally require sufficient pixel-level annotated data for training. The scale of training data remains to be the main bottleneck to obtain a bet...
Humans Image Processing, Computer-Assisted Liver Supervised Machine Learning Algorithms Tomography, X-Ray Computed
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A novel fast kilovoltage switching dual-energy computed tomography technique with deep learning: Utility for non-invasive assessments of liver fibrosis.

European journal of radiology Aug 6, 2022
PURPOSE: To investigate whether the iodine density of liver parenchyma in the equilibrium phase and extracellular volume fraction (ECV) measured by deep learning-based spectral computed tomography (CT) can enable noninvasive liver fibrosis staging.
Humans Retrospective Studies Iodine Liver Cirrhosis Liver Tomography, X-Ray Computed Deep Learning
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Distinguishing tumor from healthy tissue in human liver ex vivo using machine learning and multivariate analysis of diffuse reflectance spectra.

Journal of biophotonics Aug 4, 2022
The aim of this work was to evaluate the capability of diffuse reflectance spectroscopy to distinguish malignant liver tissues from surrounding tissues and to determine whether an extended wavelength range (450-1550 nm) offers any advantages over usi...
Multivariate Analysis Liver Spectrum Analysis Machine Learning Neoplasms Humans
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Deep learning-guided weighted averaging for signal dropout compensation in DWI of the liver.

Magnetic resonance in medicine Aug 2, 2022
PURPOSE: To develop an algorithm for the retrospective correction of signal dropout artifacts in abdominal DWI resulting from cardiac motion.
Motion Deep Learning Diffusion Magnetic Resonance Imaging Liver Humans Retrospective Studies
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Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.

Ultrasound in medicine & biology Jul 30, 2022
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease. Analysis of ultrasound (US) backscatter echoes from liver parenchyma with deep learning (DL) may offer an affordable alternative for hepatic steatos...
Ultrasonography Liver Humans Artificial Intelligence Non-alcoholic Fatty Liver Disease ROC Curve Deep Learning
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Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT.

European radiology Jul 27, 2022
OBJECTIVES: To evaluate a novel deep learning image reconstruction (DLIR) technique for dual-energy CT (DECT) derived virtual monoenergetic (VM) images compared to adaptive statistical iterative reconstruction (ASIR-V) in low kiloelectron volt (keV) ...
Radiation Dosage Humans Algorithms Deep Learning Liver Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted
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Robotic Liver Surgery: Technical Advantages Over Laparoscopic Technique Based on Parameters of Surgical Complexity and Perioperative Outcomes.

Journal of laparoendoscopic & advanced surgical techniques. Part A Jul 26, 2022
In view of the limited availability, our study addresses the issue of optimal case selection for robotic liver surgery over standard laparoscopy offering an in-detail analysis of intra- and postoperative outcomes. Clinical and technical data of all...
Laparoscopy Robotic Surgical Procedures Liver Robotics Retrospective Studies Postoperative Complications Humans
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Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.

Tomography (Ann Arbor, Mich.) Jul 13, 2022
Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disease). However, measuring organ volumes is tedious and involves manually contouring organ outlines on multiple cross-sectional MRI or CT images. The aut...
Humans Spleen Organ Size Cross-Sectional Studies Polycystic Kidney, Autosomal Dominant Kidney Automation Liver Deep Learning
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HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.

Computer methods and programs in biomedicine Jul 7, 2022
BACKGROUND AND OBJECTIVE: The segmentation and visualization of liver vessels in 3D CT images are essential for computer-aided diagnosis and preoperative planning of liver diseases. Due to the irregular structure of liver vessels and image noise, acc...
Image Processing, Computer-Assisted Liver Tomography, X-Ray Computed Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional
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Deep Learning Staging of Liver Iron Content From Multiecho MR Images.

Journal of magnetic resonance imaging : JMRI Jun 17, 2022
BACKGROUND: MRI represents the most established liver iron content (LIC) evaluation approach by estimation of liver T2* value, but it is dependent on the choice of the measurement region and the software used for image analysis.
Deep Learning Humans Iron Overload Liver Magnetic Resonance Imaging Retrospective Studies Iron
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