AIMC Topic: Liver

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Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.

IEEE transactions on bio-medical engineering Oct 22, 2018
OBJECTIVE: Segmentation of anatomical structures in ultrasound images requires vast radiological knowledge and experience. Moreover, the manual segmentation often results in subjective variations, therefore, an automatic segmentation is desirable. We...
Liver Supervised Machine Learning Blood Vessels Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted Humans
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The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural Networks.

Toxicology letters Oct 10, 2018
Protein kinases (PKs) play a role in many pivotal aspects of cellular function. Dysregulation and mutations of protein kinases are involved in the development of different diseases, which might be treated by inhibition of the corresponding kinase. Pr...
Chemical and Drug Induced Liver Injury Models, Biological Quantitative Structure-Activity Relationship Protein Kinase Inhibitors Machine Learning Liver Humans Neural Networks, Computer
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Application of fractal theory and fuzzy enhancement in ultrasound image segmentation.

Medical & biological engineering & computing Oct 9, 2018
The manuscript describes an ultrasound image segmentation technique based on the fractional Brownian motion (FBM) model. Here, the ultrasound images are first enhanced using a fuzzy-based technique, and later the FBM model is employed to obtain the f...
Humans Algorithms Ultrasonography Carotid Arteries Fractals Gallbladder Fuzzy Logic Liver Image Enhancement
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ASO Author Reflections: The Evolution of Minimally Invasive Liver Surgery and the Future with Robotics.

Annals of surgical oncology Oct 8, 2018
Humans Gastrointestinal Neoplasms Liver Hepatectomy Robotics Minimally Invasive Surgical Procedures
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In vitro and in vivo resistance of Lactobacillus rhamnosus GG carried by a mixed pineapple (Ananas comosus L. Merril) and jussara (Euterpe edulis Martius) juice to the gastrointestinal tract.

Food research international (Ottawa, Ont.) Oct 4, 2018
This study evaluated the viability of Lactobacillus rhamnosus GG (LGG) and its in vitro and in vivo resistance to the gastrointestinal tract (GIT) when carried by a mixed fermented pineapple and jussara juice. The effects of product ingestion on the ...
Gastrointestinal Tract Rats, Wistar Rats Hydroxybenzoates Liver Ananas Euterpe Microbial Viability Animals Colony Count, Microbial Probiotics Fruit and Vegetable Juices Lacticaseibacillus rhamnosus Male Fatty Acids Kidney Anthocyanins Fermented Foods Feces Antioxidants
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Treatment Outcome Retrospective Studies Liver Female Predictive Value of Tests Reproducibility of Results Positron Emission Tomography Computed Tomography Male Automation Young Adult Aged Humans Radiopharmaceuticals Middle Aged Fluorodeoxyglucose F18 Mediastinum Aged, 80 and over Adult Adolescent Neural Networks, Computer Lymphoma, Non-Hodgkin Hodgkin Disease Image Interpretation, Computer-Assisted
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Registration-Based Organ Positioning and Joint Segmentation Method for Liver and Tumor Segmentation.

BioMed research international Sep 24, 2018
The automated segmentation of liver and tumor from CT images is of great importance in medical diagnoses and clinical treatment. However, accurate and automatic segmentation of liver and tumor is generally complicated due to the complex anatomical st...
Tomography, X-Ray Computed Humans Fuzzy Logic Liver Neoplasms Liver Machine Learning Databases, Factual
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Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.

Medical physics Sep 10, 2018
BACKGROUND: Accurate prediction of radiation toxicity of healthy organs-at-risks (OARs) critically determines the radiation therapy (RT) success. The existing dose-volume histogram-based metric may grossly under/overestimate the therapeutic toxicity ...
Risk Biliary Tract Precision Medicine Liver Organs at Risk Radiosurgery Humans Treatment Failure Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Tomography, X-Ray Computed Female Reproducibility of Results Middle Aged Severity of Illness Index Adult Male Humans Deep Learning Liver Liver Cirrhosis Radiographic Image Enhancement Contrast Media
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Robust liver vessel extraction using 3D U-Net with variant dice loss function.

Computers in biology and medicine Aug 18, 2018
PURPOSE: Liver vessel extraction from CT images is essential in liver surgical planning. Liver vessel segmentation is difficult due to the complex vessel structures, and even expert manual annotations contain unlabeled vessels. This paper presents an...
Tomography, X-Ray Computed Liver Blood Vessels Humans Machine Learning Databases, Factual
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