AIMC Topic: Thorax

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Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging.

IEEE transactions on medical imaging May 17, 2019
The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly increased noise and artifacts, which might lower the judgment accura...
Humans Abdomen Artifacts Thorax Phantoms, Imaging Algorithms Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional
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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification.

Scientific reports Apr 23, 2019
The increased availability of labeled X-ray image archives (e.g. ChestX-ray14 dataset) has triggered a growing interest in deep learning techniques. To provide better insight into the different approaches, and their applications to chest X-ray classi...
Humans Infant, Newborn Middle Aged Infant Deep Learning Adolescent Aged Aged, 80 and over Young Adult Adult Statistics, Nonparametric Models, Theoretical Child, Preschool X-Rays Area Under Curve Child Age Distribution Databases as Topic Image Processing, Computer-Assisted Thorax
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Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization.

Scientific reports Apr 18, 2019
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural net...
Tuberculosis Thorax X-Rays Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Support Vector Machine Algorithms Radiography Databases, Factual
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Cardiac Rhythm Device Identification Using Neural Networks.

JACC. Clinical electrophysiology Mar 27, 2019
OBJECTIVES: This paper reports the development, validation, and public availability of a new neural network-based system which attempts to identify the manufacturer and even the model group of a pacemaker or defibrillator from a chest radiograph.
Humans Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Radiography, Thoracic Thorax Pacemaker, Artificial
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Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.

Medical physics Mar 21, 2019
PURPOSE: Automatic segmentation of organs-at-risk (OARs) is a key step in radiation treatment planning to reduce human efforts and bias. Deep convolutional neural networks (DCNN) have shown great success in many medical image segmentation application...
Thorax Radiotherapy, Image-Guided Tomography, X-Ray Computed Imaging, Three-Dimensional Organs at Risk Neural Networks, Computer
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Changes in the expression of four ABC transporter genes in response to imidacloprid in Bemisia tabaci Q (Hemiptera: Aleyrodidae).

Pesticide biochemistry and physiology Nov 20, 2018
Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), a globally invasive species complex that causes serious damage to field crops, has developed resistance to imidacloprid and many other pesticides. Insect detoxify to pesticides may partially depend...
ATP-Binding Cassette Transporters Nitro Compounds Female Hemiptera Abdomen Thorax Animals Insect Proteins Insecticides Male Neonicotinoids Gene Expression Regulation Head
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Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.

Radiology Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Heart Failure Natriuretic Peptide, Brain Radiography, Thoracic Aged, 80 and over Thorax Young Adult Adult Male Child Middle Aged ROC Curve Infant Radiographic Image Interpretation, Computer-Assisted Adolescent Databases, Factual Child, Preschool Female Humans Infant, Newborn Neural Networks, Computer Aged
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3-D Neural denoising for low-dose Coronary CT Angiography (CCTA).

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 29, 2018
CCTA has become an important tool for coronary arteries assessment in low and medium risk patients. However, it exposes the patient to significant radiation doses, resulting from high image quality requirements and acquisitions at multiple cardiac ph...
Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Coronary Angiography Signal-To-Noise Ratio Thorax Computed Tomography Angiography
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An Uncontrolled Manifold Analysis of Arm Joint Variability in Virtual Planar Position and Orientation Telemanipulation.

IEEE transactions on bio-medical engineering May 31, 2018
OBJECTIVE: In teleoperated robot-assisted tasks, the user interacts with manipulators to finely control remote tools. Manipulation of robotic devices, characterized by specific kinematic and dynamic proprieties, is a complex task for the human sensor...
Biomedical Engineering Arm Task Performance and Analysis Thorax Young Adult Man-Machine Systems Humans Adult Robotics Biomechanical Phenomena Female Robotic Surgical Procedures Male Telemedicine
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Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

IEEE transactions on medical imaging Feb 9, 2018
Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a timesaving and reliable tool for cardiovascular risk assessment. We propose a ne...
Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Adipose Tissue Female Thorax Tomography, X-Ray Computed Aged Pericardium Male
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