AIMC Topic: Radiography, Abdominal

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Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.

The British journal of radiology Jun 24, 2019
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screening population.
Retrospective Studies Tomography, X-Ray Computed Female Male Humans Sarcopenia Abdominal Muscles Image Interpretation, Computer-Assisted Radiography, Abdominal Middle Aged Deep Learning Cohort Studies Longitudinal Studies
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Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks.

European radiology Jun 21, 2019
OBJECTIVES: The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. The aim of this work is to develop a methodology for automated constru...
Tomography, X-Ray Computed Phantoms, Imaging Pregnancy Radiometry Female Radiography, Abdominal Young Adult Adult Humans Middle Aged Neural Networks, Computer Radiation Dosage Computer Simulation Monte Carlo Method
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Prognosis Female Aged Aged, 80 and over Humans Neural Networks, Computer Algorithms Middle Aged Deep Learning ROC Curve Radiographic Image Interpretation, Computer-Assisted Young Adult Adult Sensitivity and Specificity Male Radiography, Abdominal Feasibility Studies Hip Fractures False Negative Reactions
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Natural language processing to identify ureteric stones in radiology reports.

Journal of medical imaging and radiation oncology Feb 5, 2019
INTRODUCTION: Natural language processing (NLP) is an emerging tool which has the ability to automate data extraction from large volumes of unstructured text. One of the main described uses of NLP in radiology is cohort building for epidemiological s...
Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Cross-Sectional Studies Big Data Natural Language Processing Radiography, Abdominal Ureteral Calculi Humans
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Attention gated networks: Learning to leverage salient regions in medical images.

Medical image analysis Feb 5, 2019
We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image whi...
Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Datasets as Topic Algorithms Female Radiography, Abdominal Tomography, X-Ray Computed Ultrasonography, Prenatal Pregnancy Imaging, Three-Dimensional
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Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images.

IEEE transactions on bio-medical engineering Jan 21, 2019
An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for computer-aided hepatic diseases diagnosis and treatment. Considering the possible risk to patient's health due to X-ray radiation of repetitive CT ex...
Image Processing, Computer-Assisted Liver Radiography, Abdominal Humans Neural Networks, Computer Tomography, X-Ray Computed
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Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.

Radiology Dec 11, 2018
Purpose To develop and evaluate a fully automated algorithm for segmenting the abdomen from CT to quantify body composition. Materials and Methods For this retrospective study, a convolutional neural network based on the U-Net architecture was traine...
Tomography, X-Ray Computed Aged Aged, 80 and over Adult Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Humans Algorithms Retrospective Studies Radiography, Abdominal Body Composition Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.

Acta oncologica (Stockholm, Sweden) Nov 6, 2018
BACKGROUND: In this study, a deep convolutional neural network (CNN)-based automatic segmentation technique was applied to multiple organs at risk (OARs) depicted in computed tomography (CT) images of lung cancer patients, and the results were compar...
Humans Anatomy, Artistic Neural Networks, Computer Radiography, Thoracic Tomography, X-Ray Computed Radiography, Abdominal Atlases as Topic Organs at Risk Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Lung Neoplasms Tumor Burden Esophagus Pattern Recognition, Automated Spine
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Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.

Medical physics Mar 25, 2018
PURPOSE: To develop an automatic deep feature classification (DFC) method for distinguishing benign angiomyolipoma without visible fat (AMLwvf) from malignant clear cell renal cell carcinoma (ccRCC) from abdominal contrast-enhanced computer tomograph...
Angiomyolipoma Humans Machine Learning Sensitivity and Specificity Kidney Neoplasms Tomography, X-Ray Computed Image Processing, Computer-Assisted Carcinoma, Renal Cell Contrast Media Radiography, Abdominal Diagnosis, Differential
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Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation.

IEEE journal of biomedical and health informatics May 17, 2017
Organ segmentation on computed tomography (CT) images is of great importance in medical diagnoses and treatment. This paper proposes organ location determination and contour sparse representation methods (OLD-CSR) for multiorgan segmentation (liver, ...
Image Processing, Computer-Assisted Humans Radiography, Abdominal Kidney Machine Learning Liver Tomography, X-Ray Computed Spleen
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