AIMC Topic: Liver

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Identifying liver cirrhosis in patients with chronic hepatitis B: an interpretable machine learning algorithm based on LSM.

Annals of medicine Mar 19, 2025
BACKGROUND: Chronic hepatitis B (CHB) is a common cause of liver cirrhosis (LC), a condition associated with an unfavourable prognosis. Therefore, timely diagnosis of LC in CHB patients is crucial.
Hepatitis B, Chronic Elasticity Imaging Techniques ROC Curve Logistic Models Liver Cirrhosis Liver Adult Humans Male Neural Networks, Computer Middle Aged Machine Learning Algorithms Retrospective Studies Female
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Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 14, 2025
Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, ambiguous lesion boundaries, and inhomogeneous intensity distribution inside the lesion regions. This work first collected and annotated a dataset for l...
Liver Neoplasms Liver Humans Benchmarking Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Ultrasonography
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Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models.

Scientific reports Mar 13, 2025
The segmentation of liver margins in computed tomography (CT) images presents significant challenges due to the complex anatomical variability of the liver, with critical implications for medical diagnostics and treatment planning. In this study, we ...
Liver Iran Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Predicting Liver-Related In Vitro Endpoints with Machine Learning to Support Early Detection of Drug-Induced Liver Injury.

Chemical research in toxicology Mar 10, 2025
Drug-induced liver injury (DILI) is a major cause of drug development failures and postmarket drug withdrawals, posing significant challenges to public health and pharmaceutical research. The biological mechanisms leading to DILI are highly complex a...
Machine Learning Liver Chemical and Drug Induced Liver Injury Humans
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Humans Clinical Decision-Making Biomarkers, Tumor Risk Assessment Liver Neoplasms Machine Learning Precision Medicine Prognosis Meta-Analysis as Topic Mutation Datasets as Topic Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Gene Expression Regulation, Neoplastic Treatment Outcome Carcinoma, Hepatocellular Neoplasm Invasiveness Single-Cell Gene Expression Analysis Liver Immunotherapy
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TTGA U-Net: Two-stage two-stream graph attention U-Net for hepatic vessel connectivity enhancement.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 22, 2025
Accurate segmentation of hepatic vessels is pivotal for guiding preoperative planning in ablation surgery utilizing CT images. While non-contrast CT images often lack observable vessels, we focus on segmenting hepatic vessels within preoperative MR i...
Hepatic Veins Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Liver Neoplasms Liver Hepatic Artery
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Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts.

Tomography (Ann Arbor, Mich.) Feb 22, 2025
BACKGROUND/OBJECTIVE: Longitudinal in vivo studies of murine xenograft models are widely utilized in oncology to study cancer biology and develop therapies. Magnetic resonance imaging (MRI) of these tumors is an invaluable tool for monitoring tumor g...
Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Humans Magnetic Resonance Imaging Algorithms Tibia Mice Disease Models, Animal Animals Kidney Heterografts Male Liver
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A Bi-modal Temporal Segmentation Network for Automated Segmentation of Focal Liver Lesions in Dynamic Contrast-enhanced Ultrasound.

Ultrasound in medicine & biology Feb 14, 2025
OBJECTIVE: To develop and validate an automated deep learning-based model for focal liver lesion (FLL) segmentation in a dynamic contrast-enhanced ultrasound (CEUS) video.
Humans Retrospective Studies Female Aged Adult Male Image Enhancement Liver Neoplasms Middle Aged Contrast Media Deep Learning Liver Ultrasonography Image Interpretation, Computer-Assisted
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Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation.

Medical & biological engineering & computing Feb 13, 2025
Accurate three-dimensional (3D) segmentation of hepatic vascular networks is crucial for supporting ultrasound-mediated theranostics for liver diseases. Despite advancements in deep learning techniques, accurate segmentation remains challenging due t...
Deep Learning Ultrasonography Imaging, Three-Dimensional Liver Humans Neural Networks, Computer Algorithms
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Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT.

PloS one Feb 13, 2025
PURPOSE: This study aims to explore the potential of non-contrast abdominal CT radiomics and deep learning models in accurately diagnosing fatty liver.
Male Female Humans ROC Curve Retrospective Studies Middle Aged Aged Fatty Liver Tomography, X-Ray Computed Deep Learning Adult Liver Radiomics
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