AIMC Topic: Tomography, X-Ray Computed

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Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.

Physics in medicine and biology Mar 14, 2018
Lung cancer screening aims to detect small pulmonary nodules and decrease the mortality rate of those affected. However, studies from large-scale clinical trials of lung cancer screening have shown that the false-positive rate is high and positive pr...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Image Processing, Computer-Assisted Machine Learning Lung Neoplasms Retrospective Studies Multiple Pulmonary Nodules Early Detection of Cancer Adult Male Middle Aged
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Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.

Medical & biological engineering & computing Mar 10, 2018
Radiological longitudinal follow-up of tumors in CT scans is essential for disease assessment and liver tumor therapy. Currently, most tumor size measurements follow the RECIST guidelines, which can be off by as much as 50%. True volumetric measureme...
Neural Networks, Computer Humans Algorithms Follow-Up Studies Tomography, X-Ray Computed Automation Liver Neoplasms Image Processing, Computer-Assisted
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Medical Image Synthesis with Deep Convolutional Adversarial Networks.

IEEE transactions on bio-medical engineering Mar 9, 2018
Medical imaging plays a critical role in various clinical applications. However, due to multiple considerations such as cost and radiation dose, the acquisition of certain image modalities may be limited. Thus, medical image synthesis can be of great...
Image Interpretation, Computer-Assisted Deep Learning Magnetic Resonance Imaging Pelvis Brain Tomography, X-Ray Computed Humans
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted Wound Healing Algorithms Databases, Factual Tomography, X-Ray Computed Pressure Ulcer Models, Anatomic Models, Statistical Necrosis Wounds and Injuries
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Agile convolutional neural network for pulmonary nodule classification using CT images.

International journal of computer assisted radiology and surgery Feb 23, 2018
OBJECTIVE: To distinguish benign from malignant pulmonary nodules using CT images is critical for their precise diagnosis and treatment. A new Agile convolutional neural network (CNN) framework is proposed to conquer the challenges of a small-scale m...
Solitary Pulmonary Nodule Humans Databases, Factual Neural Networks, Computer Tomography, X-Ray Computed Lung Neoplasms
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Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation.

Academic radiology Feb 19, 2018
RATIONALE AND OBJECTIVES: Long-term survival after lung transplantation (LTx) is limited by bronchiolitis obliterans syndrome (BOS), defined as a sustained decline in forced expiratory volume in the first second (FEV) not explained by other causes. W...
Humans Machine Learning Forced Expiratory Volume Lung Lung Transplantation Male Aged Retrospective Studies Bronchiolitis Obliterans Predictive Value of Tests Adult Middle Aged Tomography, X-Ray Computed Tidal Volume Female
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Evaluating Report Text Variation and Informativeness: Natural Language Processing of CT Chest Imaging for Pulmonary Embolism.

Journal of the American College of Radiology : JACR Feb 13, 2018
OBJECTIVE: The aim of this study was to quantify the variability of language in free text reports of pulmonary embolus (PE) studies and to gauge the informativeness of free text to predict PE diagnosis using machine learning as proxy for human unders...
Natural Language Processing Pulmonary Embolism Data Mining Documentation Retrospective Studies Tomography, X-Ray Computed Contrast Media Humans Machine Learning Software
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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...
Deep Learning Image Processing, Computer-Assisted Adipose Tissue Aged Thorax Humans Male Pericardium Tomography, X-Ray Computed Middle Aged Female
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Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.

Computers in biology and medicine Feb 9, 2018
Phase contrast X-ray computed tomography (PCI-CT) has been demonstrated to be effective for visualization of the human cartilage matrix at micrometer resolution, thereby capturing osteoarthritis induced changes to chondrocyte organization. This study...
Humans Osteoarthritis Neural Networks, Computer Patella Tomography, X-Ray Computed Cartilage Machine Learning Chondrocytes
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Deep learning with domain adaptation for accelerated projection-reconstruction MR.

Magnetic resonance in medicine Feb 4, 2018
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Healthy Volunteers Fourier Analysis Software Magnetic Resonance Imaging Algorithms Humans Liver Tomography, X-Ray Computed Neural Networks, Computer
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