AIMC Topic: Radiography, Thoracic

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Attention-Guided Convolutional Neural Network for Detecting Pneumonia on Chest X-Rays.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Pneumonia is a common infectious disease in the world. Its main diagnostic method is chest X-ray (CXR) examination. However, the high visual similarity between a large number of pathologies in CXR makes the interpretation and differentiation of pneum...
Attention Radiography, Thoracic Neural Networks, Computer Pneumonia Radiographic Image Interpretation, Computer-Assisted Humans
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Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The use of ImageNet pre-trained networks is becoming widespread in the medical imaging community. It enables training on small datasets, commonly available in medical imaging tasks. The recent emergence of a large Chest X-ray dataset opened the possi...
X-Rays Humans Neural Networks, Computer Tuberculosis Deep Learning Radiography, Thoracic
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Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Respiratory diseases account for a significant proportion of deaths and disabilities across the world. Chest X-ray (CXR) analysis remains a common diagnostic imaging modality for confirming intra-thoracic cardiopulmonary abnormalities. However, there...
Humans Neural Networks, Computer Radiography, Thoracic Machine Learning Respiratory Tract Diseases Algorithms X-Rays Image Processing, Computer-Assisted
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Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Journal of digital imaging Jun 1, 2019
Chest digital tomosynthesis (CDT) provides more limited image information required for diagnosis when compared to computed tomography. Moreover, the radiation dose received by patients is higher in CDT than in chest radiography. Thus, CDT has not bee...
Humans Neural Networks, Computer Radiation Dosage Radiography, Thoracic Monte Carlo Method Algorithms Deep Learning Imaging, Three-Dimensional Radiographic Image Enhancement
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Deep Learning Applications in Chest Radiography and Computed Tomography: Current State of the Art.

Journal of thoracic imaging Mar 1, 2019
Deep learning is a genre of machine learning that allows computational models to learn representations of data with multiple levels of abstraction using numerous processing layers. A distinctive feature of deep learning, compared with conventional ma...
Radiography, Thoracic Deep Learning Lung Diseases Humans Tomography, X-Ray Computed Lung
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A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection.

Journal of digital imaging Aug 1, 2018
A peripherally inserted central catheter (PICC) is a thin catheter that is inserted via arm veins and threaded near the heart, providing intravenous access. The final catheter tip position is always confirmed on a chest radiograph (CXR) immediately a...
Pattern Recognition, Automated Radiography, Thoracic Catheterization, Peripheral Catheterization, Central Venous Central Venous Catheters Deep Learning Electrocardiography Neural Networks, Computer Patient Safety Humans Retrospective Studies Databases, Factual Female Male
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Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In this paper, we aim to extract the aortic knuckle (AK) contour in chest radiographs, an anatomical structure rarely being addressed in the literature. Since the AK structure is small and thin, simply adopting the deep network methods that are succe...
Image Processing, Computer-Assisted Humans Radiography, Thoracic Deep Learning
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A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution.

IEEE transactions on medical imaging Jun 1, 2018
Sparse-view computed tomography (CT) holds great promise for speeding up data acquisition and reducing radiation dose in CT scans. Recent advances in reconstruction algorithms for sparse-view CT, such as iterative reconstruction algorithms, obtained ...
Databases, Factual Humans Tomography, X-Ray Computed Algorithms Deep Learning Image Processing, Computer-Assisted Radiography, Thoracic
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LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT.

IEEE transactions on medical imaging Jun 1, 2018
Compressive sensing (CS) has proved effective for tomographic reconstruction from sparsely collected data or under-sampled measurements, which are practically important for few-view computed tomography (CT), tomosynthesis, interior tomography, and so...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiography, Thoracic Radiography, Abdominal Humans Algorithms Databases, Factual
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Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Mar 1, 2018
OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.
Feasibility Studies Tuberculosis, Pulmonary Radiography, Thoracic Predictive Value of Tests Male HIV Infections Teleradiology Prospective Studies Coinfection Humans Deep Learning Uganda Software Female ROC Curve Adult
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