AIMC Topic: Liver

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Deep Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets.

AJR. American journal of roentgenology May 1, 2024
Deep learning abdominal organ segmentation algorithms have shown excellent results in adults; validation in children is sparse. The purpose of this article is to develop and validate deep learning models for liver, spleen, and pancreas segmentation...
Deep Learning Adolescent Child, Preschool Infant, Newborn Male Infant Pancreas Spleen Radiography, Abdominal Child Liver Datasets as Topic Humans Retrospective Studies Tomography, X-Ray Computed Female
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Artificial Intelligence-Driven Platform: Unveiling Critical Hepatic Molecular Alterations in Hepatocellular Carcinoma Development.

Advanced healthcare materials Apr 30, 2024
Since most Hepatocellular Carcinoma (HCC) typically arises as a consequence of long-term liver damage, the hepatic molecular characteristics are closely related to the occurrence of HCC. Gaining comprehensive information about the location, morpholog...
Carcinoma, Hepatocellular Spectrum Analysis, Raman Liver Artificial Intelligence Tomography, X-Ray Computed Liver Neoplasms Humans
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Segmentation of liver CT images based on weighted medical transformer model.

Scientific reports Apr 30, 2024
Deep convolutional neural networks have made significant strides in the field of medical image segmentation. Although existing convolutional structures enhance performance by leveraging local image information, they often lose the interdependence inf...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Deep Learning Image Processing, Computer-Assisted Liver
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Deep learning-aided 3D proxy-bridged region-growing framework for multi-organ segmentation.

Scientific reports Apr 29, 2024
Accurate multi-organ segmentation in 3D CT images is imperative for enhancing computer-aided diagnosis and radiotherapy planning. However, current deep learning-based methods for 3D multi-organ segmentation face challenges such as the need for labor-...
Liver Spleen Humans Deep Learning Algorithms Imaging, Three-Dimensional Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Multiclassification of Hepatic Cystic Echinococcosis by Using Multiple Kernel Learning Framework and Ultrasound Images.

Ultrasound in medicine & biology Apr 27, 2024
UNLABELLED: To properly treat and care for hepatic cystic echinococcosis (HCE), it is essential to make an accurate diagnosis before treatment.
Machine Learning Algorithms Female Reproducibility of Results Aged Adult Echinococcosis, Hepatic Humans Male Support Vector Machine Middle Aged Liver Image Interpretation, Computer-Assisted Ultrasonography
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Artificial intelligence supported ultrasonography: Can it be the solution for early and accurate diagnosis of steatotic liver disease?

European journal of internal medicine Apr 24, 2024
Non-alcoholic Fatty Liver Disease Early Diagnosis Humans Artificial Intelligence Ultrasonography Fatty Liver Liver
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BiliQML: a supervised machine-learning model to quantify biliary forms from digitized whole slide liver histopathological images.

American journal of physiology. Gastrointestinal and liver physiology Apr 23, 2024
The progress of research focused on cholangiocytes and the biliary tree during development and following injury is hindered by limited available quantitative methodologies. Current techniques include two-dimensional standard histological cell-countin...
Bile Ducts Bile Duct Diseases Biliary Tract Disease Models, Animal Liver Supervised Machine Learning Animals Image Processing, Computer-Assisted Mice
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Using machine learning for chemical-free histological tissue staining.

Journal of histotechnology Apr 22, 2024
Hematoxylin and eosin staining can be hazardous, expensive, and prone to error and variability. To circumvent these issues, artificial intelligence/machine learning models such as generative adversarial networks (GANs), are being used to 'virtually' ...
Staining and Labeling Liver Neural Networks, Computer Machine Learning Humans Image Processing, Computer-Assisted
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Hepatic and portal vein segmentation with dual-stream deep neural network.

Medical physics Apr 22, 2024
BACKGROUND: Liver lesions mainly occur inside the liver parenchyma, which are difficult to locate and have complicated relationships with essential vessels. Thus, preoperative planning is crucial for the resection of liver lesions. Accurate segmentat...
Deep Learning Image Processing, Computer-Assisted Liver Humans Neural Networks, Computer Tomography, X-Ray Computed Portal Vein Hepatic Veins
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Identification and validation of potential diagnostic signature and immune cell infiltration for HIRI based on cuproptosis-related genes through bioinformatics analysis and machine learning.

Frontiers in immunology Apr 16, 2024
BACKGROUND AND AIMS: Cuproptosis has emerged as a significant contributor in the progression of various diseases. This study aimed to assess the potential impact of cuproptosis-related genes (CRGs) on the development of hepatic ischemia and reperfusi...
Transcriptome Liver Animals Protein Interaction Maps Reperfusion Injury Male Humans Gene Regulatory Networks Gene Expression Profiling Mice Machine Learning Computational Biology Biomarkers Databases, Genetic
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