AIMC Topic: Lung

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Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow.

Scientific reports Jul 27, 2022
In this study, we propose a two-stage workflow used for the segmentation and scoring of lung diseases. The workflow inherits quantification, qualification, and visual assessment of lung diseases on X-ray images estimated by radiologists and clinician...
Humans Image Processing, Computer-Assisted X-Rays Lung Deep Learning COVID-19 Algorithms
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Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.

Medicine Jul 22, 2022
To tune and test the generalizability of a deep learning-based model for assessment of COVID-19 lung disease severity on chest radiographs (CXRs) from different patient populations. A published convolutional Siamese neural network-based model previou...
Radiography, Thoracic Deep Learning Radiologists COVID-19 Lung Humans
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The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT images.

Scientific reports Jul 20, 2022
To compare the quality of CT images of the lung reconstructed using deep learning-based reconstruction (True Fidelity Image: TFI ™; GE Healthcare) to filtered back projection (FBP), and to determine the minimum tube current-time product in TFI withou...
Cadaver Radiation Dosage Algorithms Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Humans
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Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis.

Frontiers in public health Jul 18, 2022
BACKGROUND: Artificial intelligence has far surpassed previous related technologies in image recognition and is increasingly used in medical image analysis. We aimed to explore the diagnostic accuracy of the models based on deep learning or radiomics...
Lung Neoplasms Lung Humans Neoplasm Staging Deep Learning Artificial Intelligence
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Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

European radiology Jul 16, 2022
OBJECTIVE: Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in conjunction with multi-detector CT (MDCT). Moreover, deep learning reco...
Humans Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Lung Thorax Phantoms, Imaging
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Applicability analysis of immunotherapy for lung cancer patients based on deep learning.

Methods (San Diego, Calif.) Jul 6, 2022
According to global and Chinese cancer statistics, lung cancer is the second most common cancer globally with the highest mortality rate and a severe threat to human life and health. In recent years, immunotherapy has made significant breakthroughs i...
Solitary Pulmonary Nodule Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Humans Lung Neoplasms Lung Deep Learning Neural Networks, Computer Immunotherapy
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FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection.

Journal of digital imaging Jul 5, 2022
Coronavirus (COVID-19) creates an extensive range of respiratory contagions, and it is a kind of ribonucleic acid (RNA) virus, which affects both animals and humans. Moreover, COVID-19 is a new disease, which produces contamination in upper respirati...
Humans COVID-19 Algorithms Lung Deep Learning Fuzzy Logic Cluster Analysis
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Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs.

Computational intelligence and neuroscience Jun 24, 2022
Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative lesions. It has good sensitivity and specificity for the diagnosis of various pulmonary diseases in neonates and children. It is believed that it can rep...
Child Neural Networks, Computer Humans Infant, Newborn Algorithms Lung Diseases Ultrasonography Lung
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Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.

Scientific reports Jun 22, 2022
Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is an essential component of the diagnosis, treatment planning, monitoring, and treatment assessment of respiratory diseases. Insights into numerous pulmo...
Magnetic Resonance Imaging Male Lung Volume Measurements Humans Lung Deep Learning
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CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.

Medical physics Jun 21, 2022
BACKGROUND: The morbidity of pulmonary embolism (PE) is only lower than that of coronary heart disease and hypertension. Early detection, early diagnosis, and timely treatment are the keys to effectively reduce the risk of death. Nevertheless, PE seg...
Tomography, X-Ray Computed Lung Pulmonary Embolism Image Processing, Computer-Assisted Humans Neural Networks, Computer
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