AIMC Topic: Lung

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A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.

Computers in biology and medicine Aug 25, 2021
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung Screening Trial, patients who underwent low-dose computed tomography (CT) scanning once a year for 3 years showed a 20% decline in lung cancer mortality. To...
Humans Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Lung Deep Learning Lung Neoplasms Computers Tomography, X-Ray Computed Sensitivity and Specificity
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Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning.

Physics in medicine and biology Aug 23, 2021
To develop and evaluate the performance of a deep learning model to generate synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing radiotherapy for lung cancer.. A clinical data set of 58 pre- and post-radiotherapyTc-...
Lung Neoplasms Perfusion Four-Dimensional Computed Tomography Humans Lung Deep Learning
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Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning.

Journal of healthcare engineering Aug 17, 2021
Lung cancer is one of the most malignant tumors. If it can be detected early and treated actively, it can effectively improve a patient's survival rate. Therefore, early diagnosis of lung cancer is very important. Early-stage lung cancer usually appe...
Deep Learning Tomography, X-Ray Computed Precancerous Conditions Lung Neoplasms Humans Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Lung
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Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Aug 14, 2021
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmonary nodule detection on computed tomography (CT) images and assess its added value in the clinical practice of a large teaching hospital.
Hospitals, Teaching Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Adolescent Humans Retrospective Studies Young Adult Adult Sensitivity and Specificity Male Middle Aged Reproducibility of Results Lung Aged Tomography, X-Ray Computed Aged, 80 and over Female
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Deep-learning based detection of COVID-19 using lung ultrasound imagery.

PloS one Aug 13, 2021
BACKGROUND: The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, especially in underdeveloped countries. There is a clear need to develop novel computer-assisted diagnosis tools to provide rapid and cost-effective scr...
Ultrasonography Image Processing, Computer-Assisted Lung Deep Learning Humans COVID-19
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A bagging dynamic deep learning network for diagnosing COVID-19.

Scientific reports Aug 11, 2021
COVID-19 is a serious ongoing worldwide pandemic. Using X-ray chest radiography images for automatically diagnosing COVID-19 is an effective and convenient means of providing diagnostic assistance to clinicians in practice. This paper proposes a bagg...
Humans COVID-19 Algorithms Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Lung Diagnosis, Computer-Assisted
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Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs.

International journal of computer assisted radiology and surgery Aug 10, 2021
PURPOSE: Fast helical free-breathing CT (FHFBCT) scans are widely used for 5DCT and 5D Cone Beam imaging protocols. For quantitative analysis of lung physiology and function, it is important to segment the lung lobes in these scans. Since the 5DCT pr...
Humans Image Processing, Computer-Assisted Respiration Neural Networks, Computer Lung
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Validating deep learning inference during chest X-ray classification for COVID-19 screening.

Scientific reports Aug 9, 2021
The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate several times that of the flu. As the number of infections soared, and capabilities for testing lagged behind, chest X-ray (CXR) imaging became more relevant in the...
Deep Learning Radiography, Thoracic X-Rays Sensitivity and Specificity Neural Networks, Computer Lung Pandemics Humans COVID-19 Algorithms Reproducibility of Results SARS-CoV-2
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Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification.

Computers in biology and medicine Aug 8, 2021
The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting an urgent need for effective and highly reliable diagnostic instruments to help medical personnel. Deep learning (DL) has been demonstrated to be use...
Deep Learning Pneumonia Humans COVID-19 Reproducibility of Results SARS-CoV-2 Lung
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Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning.

Tomography (Ann Arbor, Mich.) Aug 7, 2021
We are developing imaging methods for a co-clinical trial investigating synergy between immunotherapy and radiotherapy. We perform longitudinal micro-computed tomography (micro-CT) of mice to detect lung metastasis after treatment. This work explores...
Deep Learning Lung Neoplasms Mice X-Ray Microtomography Neural Networks, Computer Animals Lung
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