AIMC Topic: Liver

Clear Filters Showing 401 to 410 of 590 articles

Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine Aug 7, 2019
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.
Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Kidney Image Interpretation, Computer-Assisted Algorithms Reproducibility of Results Pancreas Prospective Studies Adult Spleen Computer Simulation Male Diffusion Magnetic Resonance Imaging Liver Bayes Theorem Least-Squares Analysis Motion
View on PubMed DOI

Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.

Computational and mathematical methods in medicine Jul 21, 2019
The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibrosis reverse is not well established. Our research aims to construct an ANN model for estimating noninvasive predictors of fibrosis reverse in chronic ...
Hepatitis B, Chronic Remission Induction Mathematical Concepts Middle Aged China Biomarkers Liver Cirrhosis ROC Curve Humans Female Liver Adult Neural Networks, Computer Biopsy Male Prospective Studies Models, Biological
View on PubMed DOI

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

IEEE transactions on medical imaging Jul 19, 2019
The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However, the existing segmentation methods do not attempt to reduce HD directly. In this paper, we present novel loss functions for training convolutional ne...
Humans Neural Networks, Computer Algorithms Male Image Processing, Computer-Assisted Liver Diagnostic Imaging Prostate
View on PubMed DOI

Engineering approaches for characterizing soft tissue mechanical properties: A review.

Clinical biomechanics (Bristol, Avon) Jul 16, 2019
From cancer diagnosis to detailed characterization of arterial wall biomechanics, the elastic property of tissues is widely studied as an early sign of disease onset. The fibrous structural features of tissues are a direct measure of its health and f...
Stomach Bioengineering Elasticity Imaging Techniques Robotic Surgical Procedures Prostate Breast Microscopy, Atomic Force Elasticity Cell Membrane Vagina Area Under Curve Diagnostic Imaging Tomography, Optical Coherence Equipment Design Neoplasms Fiber Optic Technology Liver Humans Machine Learning Female Brain Neoplasms Biomechanical Phenomena Male
View on PubMed DOI

Raman spectroscopic histology using machine learning for nonalcoholic fatty liver disease.

FEBS letters Jul 8, 2019
Histopathology requires the expertise of specialists to diagnose morphological features of cells and tissues. Raman imaging can provide additional biochemical information to benefit histological disease diagnosis. Using a dietary model of nonalcoholi...
Machine Learning Animals Male Rats Non-alcoholic Fatty Liver Disease Signal-To-Noise Ratio Spectrum Analysis, Raman Rats, Sprague-Dawley Liver
View on PubMed DOI

Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.

Medical physics Jul 5, 2019
PURPOSE: Manually tracing regions of interest (ROIs) within the liver is the de facto standard method for measuring liver attenuation on computed tomography (CT) in diagnosing nonalcoholic fatty liver disease (NAFLD). However, manual tracing is resou...
Deep Learning Image Processing, Computer-Assisted Liver Non-alcoholic Fatty Liver Disease Humans Tomography, X-Ray Computed
View on PubMed DOI

Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jun 20, 2019
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.
Evaluation Studies as Topic Non-alcoholic Fatty Liver Disease Image Interpretation, Computer-Assisted Deep Learning Ultrasonography Liver Sensitivity and Specificity Severity of Illness Index
View on PubMed DOI

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction.

Magnetic resonance in medicine Jun 5, 2019
PURPOSE: To develop and evaluate a novel deep learning-based reconstruction framework called SANTIS (Sampling-Augmented Neural neTwork with Incoherent Structure) for efficient MR image reconstruction with improved robustness against sampling pattern ...
Knee Gadolinium DTPA Contrast Media Magnetic Resonance Imaging Liver Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional Liver Datasets as Topic Humans Blood Vessels
View on PubMed DOI

Automated Machine Learning Diagnostic Support System as a Computational Biomarker for Detecting Drug-Induced Liver Injury Patterns in Whole Slide Liver Pathology Images.

Assay and drug development technologies May 31, 2019
in vivor p R.
Humans Machine Learning Biomarkers Animals Chemical and Drug Induced Liver Injury Computational Biology Toxicogenetics Rats Liver Automation
View on PubMed DOI
Popular Topics
Recent Journals