AIMC Topic: Lung

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Pulmonary Textures Classification via a Multi-Scale Attention Network.

IEEE journal of biomedical and health informatics Nov 4, 2019
Precise classification of pulmonary textures is crucial to develop a computer aided diagnosis (CAD) system of diffuse lung diseases (DLDs). Although deep learning techniques have been applied to this task, the classification performance is not satisf...
Deep Learning Image Processing, Computer-Assisted Lung Diseases Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Lung
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Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.

Artificial intelligence in medicine Oct 28, 2019
Lung cancer is the leading cause of cancer death worldwide. Early detection of lung cancer is helpful to provide the best possible clinical treatment for patients. Due to the limited number of radiologist and the huge number of chest x-ray radiograph...
Humans Lung Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted
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Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.

Nature biomedical engineering Oct 28, 2019
Tomographic imaging using penetrating waves generates cross-sectional views of the internal anatomy of a living subject. For artefact-free volumetric imaging, projection views from a large number of angular positions are required. Here we show that a...
Neck Deep Learning Radiotherapy Planning, Computer-Assisted Cone-Beam Computed Tomography Head Radiotherapy Imaging, Three-Dimensional Humans Biopsy, Needle Abdomen Lung
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Deep learning to stratify lung nodules on annual follow-up CT.

The Lancet. Digital health Oct 17, 2019
Humans Tomography, X-Ray Computed Lung Deep Learning Lung Neoplasms Follow-Up Studies Early Detection of Cancer
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A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation.

Scientific reports Oct 16, 2019
In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumor target delineation and treatment delivery, thus making active motion management an essential step in thoracic and abdominal tumor treatment. In curr...
Respiration Radiation Dosage Movement Gamma Rays Lung Humans Lung Neoplasms Machine Learning Image Interpretation, Computer-Assisted Radiotherapy, Computer-Assisted
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Serum Globulins Risk Assessment Lung Cohort Studies Electrocardiography Humans Longitudinal Studies Machine Learning Age Factors Cough Alcohol Drinking Pulmonary Disease, Chronic Obstructive Algorithms Spirometry Hematocrit Male Female Triglycerides Aging Forced Expiratory Volume Dyspnea Serum Albumin Adult Middle Aged Sex Factors Leukocyte Count Cigarette Smoking Body Height Vital Capacity Alkaline Phosphatase Bronchodilator Agents
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Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.

European radiology Sep 4, 2019
OBJECTIVE: To investigate the natural history of persistent pulmonary pure ground-glass nodules (pGGNs) with deep learning-assisted nodule segmentation.
Regression Analysis Image Interpretation, Computer-Assisted Time Male Middle Aged Lung Deep Learning Lung Neoplasms Follow-Up Studies Solitary Pulmonary Nodule Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Humans Algorithms
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Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.

Journal of biophotonics Aug 29, 2019
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using...
Neural Networks, Computer Animals Lung Pancreas Image Processing, Computer-Assisted Tomography, Optical Mice Zebrafish
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DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network.

IEEE transactions on visualization and computer graphics Aug 22, 2019
This paper introduces a deep neural network based method, i.e., DeepOrganNet, to generate and visualize fully high-fidelity 3D / 4D organ geometric models from single-view medical images with complicated background in real time. Traditional 3D / 4D m...
Lung Neoplasms Phantoms, Imaging Humans Lung Neural Networks, Computer Deep Learning Algorithms Cone-Beam Computed Tomography Imaging, Three-Dimensional
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Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

IEEE journal of biomedical and health informatics Aug 19, 2019
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical world. Of particular interest are several imaging-artifacts, e.g., A- and B- line artifacts. While A-lines are a visual pattern which essentially represe...
Phantoms, Imaging Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Lung Artifacts Deep Learning Ultrasonography Lung Diseases
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