AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Reproducibility of Results Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Humans Machine Learning Prognosis Plaque, Atherosclerotic Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Vascular Calcification Heart Disease Risk Factors Coronary Vessels Computed Tomography Angiography
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Computed Tomography Angiography Coronary Stenosis Heart Disease Risk Factors Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Machine Learning Prognosis Reproducibility of Results Coronary Angiography Risk Assessment Severity of Illness Index Humans Radiographic Image Interpretation, Computer-Assisted Predictive Value of Tests Coronary Artery Disease
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Automated labeling of the airway tree in terms of lobes based on deep learning of bifurcation point detection.

Medical & biological engineering & computing Jul 2, 2020
This paper presents an automatic lobe-based labeling of airway tree method, which can detect the bifurcation points for reconstructing and labeling the airway tree from a computed tomography image. A deep learning-based network structure is designed ...
Humans Algorithms Computer Simulation Tomography, X-Ray Computed Trachea Computational Biology Models, Anatomic Lung Bronchi Radiographic Image Interpretation, Computer-Assisted Deep Learning Imaging, Three-Dimensional
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Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.

Japanese journal of radiology Jun 26, 2020
PURPOSE: To evaluate the performance of a deep learning-based computer-aided diagnosis (CAD) system at detecting pulmonary nodules on CT by comparing radiologists' readings with and without CAD.
Lung Neoplasms Aged, 80 and over Multiple Pulmonary Nodules Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Retrospective Studies Young Adult Male Adult Solitary Pulmonary Nodule Lung Middle Aged Sensitivity and Specificity Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Deep Learning
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Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.

European journal of radiology Jun 25, 2020
PURPOSE: Adenocarcinoma (ADC) is the most common histological subtype of lung cancers in non-small cell lung cancer (NSCLC) in which ground glass opacifications (GGOs) found on computed tomography (CT) scans are the most common lesions. However, the ...
Predictive Value of Tests Humans Radiographic Image Interpretation, Computer-Assisted Adenocarcinoma of Lung Prognosis Middle Aged Lung Deep Learning Tomography, X-Ray Computed Lung Neoplasms Diagnosis, Differential Female Reproducibility of Results Male
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Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.

Computer methods and programs in biomedicine Jun 20, 2020
BACKGROUND AND OBJECTIVE: To investigate the effect of the slab thickness in maximum intensity projections (MIPs) on the candidate detection performance of a deep learning-based computer-aided detection (DL-CAD) system for pulmonary nodule detection ...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Deep Learning Lung Neoplasms
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Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

Computer methods and programs in biomedicine Jun 20, 2020
BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cas...
Reproducibility of Results SARS-CoV-2 Deep Learning Image Processing, Computer-Assisted Coronavirus Infections Radiography, Thoracic X-Rays Radiographic Image Interpretation, Computer-Assisted Lung Diseases Neural Networks, Computer Pandemics COVID-19 Algorithms Humans Betacoronavirus Pneumonia, Viral
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Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 20, 2020
PURPOSE: We aimed to thoroughly characterize image quality of a novel deep learning image reconstruction (DLIR), and investigate its potential for dose reduction in abdominal CT in comparison with filtered back-projection (FBP) and a partial model-ba...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast.

Clinical breast cancer Jun 7, 2020
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further va...
ROC Curve Mammography Diagnosis, Differential Biopsy Datasets as Topic Hyperplasia Mammary Glands, Human Radiographic Image Interpretation, Computer-Assisted Aged Carcinoma, Intraductal, Noninfiltrating Humans Adult Neural Networks, Computer Breast Neoplasms Middle Aged Prospective Studies Female
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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.

Computer methods and programs in biomedicine Jun 5, 2020
BACKGROUND AND OBJECTIVE: The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives overall. As...
Coronavirus Infections False Positive Reactions Radiography, Thoracic Betacoronavirus Reproducibility of Results SARS-CoV-2 Deep Learning Radiographic Image Interpretation, Computer-Assisted Pneumonia, Viral Humans Neural Networks, Computer COVID-19 Algorithms Databases, Factual Software Pandemics
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