AIMC Topic: Liver

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Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning.

PloS one Sep 25, 2024
BACKGROUND: Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.
Ultrasonography Temperature Liver Neoplasms Animals Microwaves Machine Learning Liver Ablation Techniques Algorithms Swine
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SELFNet: Denoising Shear Wave Elastography Using Spatial-temporal Fourier Feature Networks.

Ultrasound in medicine & biology Sep 23, 2024
OBJECTIVE: Ultrasound-based shear wave elastography offers estimation of tissue stiffness through analysis of the propagation of a shear wave induced by a stimulus. Displacement or velocity fields during the process can contain noise as a result of t...
Elasticity Imaging Techniques Animals Spatio-Temporal Analysis Image Processing, Computer-Assisted Liver Phantoms, Imaging Fourier Analysis Humans Neural Networks, Computer
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Boundary-aware convolutional attention network for liver segmentation in ultrasound images.

Scientific reports Sep 15, 2024
Liver ultrasound is widely used in clinical practice due to its advantages of non-invasiveness, non-radiation, and real-time imaging. Accurate segmentation of the liver region in ultrasound images is essential for accelerating the auxiliary diagnosis...
Algorithms Deep Learning Ultrasonography Humans Neural Networks, Computer Image Processing, Computer-Assisted Liver
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A Multi-Scale Liver Tumor Segmentation Method Based on Residual and Hybrid Attention Enhanced Network with Contextual Integration.

Sensors (Basel, Switzerland) Sep 9, 2024
Liver cancer is one of the malignancies with high mortality rates worldwide, and its timely detection and accurate diagnosis are crucial for improving patient prognosis. To address the limitations of traditional image segmentation techniques and the ...
Neural Networks, Computer Algorithms Liver Neoplasms Humans Image Processing, Computer-Assisted Liver
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Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies.

Scientific reports Sep 9, 2024
Image segmentation of the liver is an important step in treatment planning for liver cancer. However, manual segmentation at a large scale is not practical, leading to increasing reliance on deep learning models to automatically segment the liver. Th...
Contrast Media Magnetic Resonance Imaging Liver Liver Diseases Deep Learning Liver Neoplasms Image Processing, Computer-Assisted Humans
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Deep Learning Based Shear Wave Detection and Segmentation Tool for Use in Point-of-Care for Chronic Liver Disease Assessments.

Ultrasound in medicine & biology Sep 6, 2024
OBJECTIVE: As metabolic dysfunction-associated steatotic liver disease (MASLD) becomes more prevalent worldwide, it is imperative to create more accurate technologies that make it easy to assess the liver in a point-of-care setting. The aim of this s...
Male Point-of-Care Systems Middle Aged Algorithms Female Humans Adult Chronic Disease Software Deep Learning Liver Diseases Fatty Liver Elasticity Imaging Techniques Liver
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Model based deep learning method for focused ultrasound pathway scanning.

Scientific reports Aug 29, 2024
The primary purpose of high-intensity focused ultrasound (HIFU), a non-invasive medical therapy, is to precisely target and ablate tumors by focusing high-frequency ultrasound from an external power source. A series of ablations must be performed in ...
High-Intensity Focused Ultrasound Ablation Deep Learning Cattle Liver Humans Animals
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Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study.

Sensors (Basel, Switzerland) Aug 26, 2024
The early detection of liver fibrosis is of significant importance. Deep learning analysis of ultrasound backscattered radiofrequency (RF) signals is emerging for tissue characterization as the RF signals carry abundant information related to tissue ...
Adult Radio Waves Male Humans Middle Aged Liver Cirrhosis Neural Networks, Computer Deep Learning Female Liver Ultrasonography Aged Feasibility Studies Image Processing, Computer-Assisted
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Machine learning based identification potential feature genes for prediction of drug efficacy in nonalcoholic steatohepatitis animal model.

Lipids in health and disease Aug 24, 2024
BACKGROUND: Nonalcoholic Steatohepatitis (NASH) results from complex liver conditions involving metabolic, inflammatory, and fibrogenic processes. Despite its burden, there has been a lack of any approved food-and-drug administration therapy up till ...
Machine Learning Biomarkers Animals Male Rats Non-alcoholic Fatty Liver Disease YAP-Signaling Proteins Disease Models, Animal Liver MicroRNAs
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Deep Learning With Ultrasound Images Enhance the Diagnosis of Nonalcoholic Fatty Liver.

Ultrasound in medicine & biology Aug 23, 2024
OBJECTIVE: This research aimed to improve diagnosis of non-alcoholic fatty liver disease (NAFLD) by deep learning with ultrasound Images and reduce the impact of the professional competence and personal bias of the diagnostician.
Non-alcoholic Fatty Liver Disease Ultrasonography Liver Female Aged Adult Male Middle Aged Deep Learning Humans
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