AIMC Topic: Tomography, X-Ray Computed

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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Technology in cancer research & treatment Jan 1, 2019
Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation. Target delineation is time-consuming, and the results can vary depending on the experience ...
Deep Learning Adolescent Image Processing, Computer-Assisted Neoplasm Grading Organs at Risk Models, Theoretical Humans Neoplasm Staging Adult Algorithms Male Tomography, X-Ray Computed Middle Aged Female Radiotherapy Planning, Computer-Assisted Aged Nasopharyngeal Neoplasms Young Adult Radiotherapy, Image-Guided
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Reproducibility of Results Lung Deep Learning Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans ROC Curve Lung Neoplasms Databases, Factual Tomography, X-Ray Computed
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Multi-material decomposition of spectral CT images via Fully Convolutional DenseNets.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuat...
Signal-To-Noise Ratio Photons Radiography, Dual-Energy Scanned Projection Image Processing, Computer-Assisted Tomography, X-Ray Computed Mice Animals Calibration Deep Learning
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Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Least-Squares Analysis Radiation Dosage Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Machine Learning Algorithms
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Reduced iteration image reconstruction of incomplete projection CT using regularization strategy through Lp norm dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: For sparse and limited angle projection Computed Tomography (CT), the reconstructed image usually suffers from considerable artifacts due to undersampled data.
Machine Learning Algorithms Tomography, X-Ray Computed Phantoms, Imaging Image Processing, Computer-Assisted Artifacts Signal-To-Noise Ratio
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Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Humans Neural Networks, Computer Tomography, X-Ray Computed Knowledge Bases Multiple Pulmonary Nodules Solitary Pulmonary Nodule Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms
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Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

Investigative radiology Jan 1, 2019
OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based triage system for the detection of acute findings in abdominal computed tomography (CT) examinations.
Radiology Information Systems Radiography, Abdominal Humans Sensitivity and Specificity Algorithms Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology Jan 1, 2019
OBJECTIVES: The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.
Tomography, X-Ray Computed Female Sensitivity and Specificity Male Humans Area Under Curve Radiography Middle Aged Maxillary Sinus Maxillary Sinusitis Deep Learning ROC Curve
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Large Cell Neuroendocrine Carcinoma of the Extrahepatic Bile Duct.

The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi Dec 25, 2018
Primary neuroendocrine tumors originating from the extrahepatic bile duct are rare. Among these tumors, large cell neuroendocrine carcinomas (NECs) are extremely rare. A 59-year-old man was admitted to Sanggye Paik Hospital with jaundice that started...
Humans Tomography, X-Ray Computed Male Middle Aged Magnetic Resonance Imaging Bile Ducts, Extrahepatic CD56 Antigen Chromogranins Synaptophysin Carcinoma, Neuroendocrine Chemoradiotherapy, Adjuvant Bile Duct Neoplasms
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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Lung Pulmonary Disease, Chronic Obstructive Humans Pulmonary Emphysema Sensitivity and Specificity Respiratory Function Tests Tomography, X-Ray Computed Disease Progression Spirometry Risk Factors Early Diagnosis
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