AIMC Topic: Radiography, Thoracic

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Proposing a novel deep network for detecting COVID-19 based on chest images.

Scientific reports Feb 24, 2022
The rapid outbreak of coronavirus threatens humans' life all around the world. Due to the insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick diagnostic tool is of great importance. To date, researchers ...
Radiography, Thoracic Middle Aged Lung Deep Learning Humans Neural Networks, Computer COVID-19 SARS-CoV-2 Male Tomography, X-Ray Computed Female
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Concordance rate of radiologists and a commercialized deep-learning solution for chest X-ray: Real-world experience with a multicenter health screening cohort.

PloS one Feb 24, 2022
PURPOSE: Lunit INSIGHT CXR (Lunit) is a commercially available deep-learning algorithm-based decision support system for chest radiography (CXR). This retrospective study aimed to evaluate the concordance rate of radiologists and Lunit for thoracic a...
Deep Learning Cohort Studies Mass Screening Radiography, Thoracic Aged Humans Predictive Value of Tests Male Retrospective Studies Radiologists Middle Aged Female
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Artificial intelligence system for identification of false-negative interpretations in chest radiographs.

European radiology Feb 23, 2022
OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI) system for the identification of false negatives in chest radiographs that were interpreted as normal by radiologists.
Humans Artificial Intelligence Retrospective Studies Radiography, Thoracic Middle Aged Radiography Radiologists
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Comparison of error rates between four pretrained DenseNet convolutional neural network models and 13 board-certified veterinary radiologists when evaluating 15 labels of canine thoracic radiographs.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Feb 8, 2022
Convolutional neural networks (CNNs) are commonly used as artificial intelligence (AI) tools for evaluating radiographs, but published studies testing their performance in veterinary patients are currently lacking. The purpose of this retrospective, ...
Humans Neural Networks, Computer Artificial Intelligence Dogs Radiography, Thoracic Retrospective Studies Animals Radiologists
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Semantic segmentation of COVID-19 lesions with a multiscale dilated convolutional network.

Scientific reports Feb 3, 2022
Automatic segmentation of infected lesions from computed tomography (CT) of COVID-19 patients is crucial for accurate diagnosis and follow-up assessment. The remaining challenges are the obvious scale difference between different types of COVID-19 le...
Radiography, Thoracic Neural Networks, Computer COVID-19 Tomography, X-Ray Computed Imaging, Three-Dimensional Datasets as Topic Female Male Humans
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Deep learning-based segmentation of the thorax in mouse micro-CT scans.

Scientific reports Feb 2, 2022
For image-guided small animal irradiations, the whole workflow of imaging, organ contouring, irradiation planning, and delivery is typically performed in a single session requiring continuous administration of anaesthetic agents. Automating contourin...
Animals Deep Learning Observer Variation Mice Radiography, Thoracic Thorax Mice, Inbred BALB C Female Predictive Value of Tests X-Ray Microtomography Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Workflow
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Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation.

Radiology Jan 25, 2022
Background Accurate detection of pneumothorax on chest radiographs, the most common complication of percutaneous transthoracic needle biopsies (PTNBs), is not always easy in practice. A computer-aided detection (CAD) system may help detect pneumothor...
Male Deep Learning Lung Neoplasms Retrospective Studies Female Humans Aged Radiography, Thoracic Biopsy, Needle Pneumothorax
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Automated detection of COVID-19 through convolutional neural network using chest x-ray images.

PloS one Jan 21, 2022
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the...
Databases, Factual Female SARS-CoV-2 Pneumonia, Bacterial Deep Learning Diagnosis, Differential ROC Curve Image Interpretation, Computer-Assisted Male Radiography, Thoracic Case-Control Studies Humans COVID-19
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Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray.

Sensors (Basel, Switzerland) Jan 16, 2022
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential to control the spread and alleviate risk. Due to the promising ...
X-Rays Deep Learning COVID-19 Testing Radiography, Thoracic Humans COVID-19 Algorithms SARS-CoV-2
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Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.

Scientific reports Jan 14, 2022
We developed and validated a deep learning (DL)-based model using the segmentation method and assessed its ability to detect lung cancer on chest radiographs. Chest radiographs for use as a training dataset and a test dataset were collected separatel...
Solitary Pulmonary Nodule Datasets as Topic Radiography, Thoracic Middle Aged Deep Learning Lung Neoplasms Retrospective Studies Female Aged Sensitivity and Specificity Humans Male Aged, 80 and over Neural Networks, Computer Adult Algorithms
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