AIMC Topic: Pneumoconiosis

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Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis.

BMC pulmonary medicine Jul 15, 2022
PURPOSE: This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP).
Deep Learning Pneumoconiosis Anthracosis Coal X-Rays Coal Mining Humans Prospective Studies
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Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning.

BMC medical imaging Dec 8, 2021
PURPOSE: The objective of this study is to construct a computer aided diagnosis system for normal people and pneumoconiosis using X-raysand deep learning algorithms.
X-Rays Diagnosis, Computer-Assisted Deep Learning Pneumoconiosis Retrospective Studies Humans Female Aged Male Middle Aged Aged, 80 and over Adult
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Balanced Convolutional Neural Networks for Pneumoconiosis Detection.

International journal of environmental research and public health Aug 28, 2021
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience o...
Humans Pneumoconiosis Radiography Neural Networks, Computer Machine Learning China
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A deep learning-based model for screening and staging pneumoconiosis.

Scientific reports Jan 26, 2021
This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pneumoconiosis screening and staging using chest radiographs. The model, based on chest radiographs, was developed using a training cohort and validated ...
Pneumoconiosis Mass Screening Radiologists Models, Biological Databases as Topic Humans Reproducibility of Results Deep Learning
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Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.

Occupational and environmental medicine May 29, 2020
OBJECTIVES: To investigate the potential of deep learning in assessing pneumoconiosis depicted on digital chest radiographs and to compare its performance with certified radiologists.
Radiologists Aged Radiography, Thoracic Radiographic Image Enhancement Humans Occupational Exposure Deep Learning Neural Networks, Computer Pneumoconiosis Male China Dust Middle Aged Retrospective Studies ROC Curve Female Reproducibility of Results
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Predicting Pneumoconiosis Risk in Coal Workers using Artificial Neural Networks.

Puerto Rico health sciences journal Jun 1, 2025
OBJECTIVE: This study aimed to create a model to predict pneumoconiosis risk in coal workers using artificial neural networks (ANNs).
Humans Neural Networks, Computer Adult Pneumoconiosis Anthracosis Occupational Diseases Coal Mining Male Middle Aged Risk Assessment
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Diagnosis of Pneumoconiosis with Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Pneumoconiosis encompasses a group of lung diseases caused by inhaling dust particles. Frequently recognized as an occupational disease, it primarily affects workers in the mining industry. This paper details the use of machine learning algorithms to...
Pneumoconiosis Support Vector Machine Bayes Theorem Humans Machine Learning Algorithms Lung Diagnosis, Computer-Assisted
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Potential of digital chest radiography-based deep learning in screening and diagnosing pneumoconiosis: An observational study.

Medicine Jun 21, 2024
The diagnosis of pneumoconiosis is complex and subjective, leading to inevitable variability in readings. This is especially true for inexperienced doctors. To improve accuracy, a computer-assisted diagnosis system is used for more effective pneumoco...
Humans Neural Networks, Computer Female Reproducibility of Results Diagnosis, Computer-Assisted Radiography, Thoracic Deep Learning Pneumoconiosis Aged Male Middle Aged
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[A survey on the application of convolutional neural networks in the diagnosis of occupational pneumoconiosis].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2024
Pneumoconiosis ranks first among the newly-emerged occupational diseases reported annually in China, and imaging diagnosis is still one of the main clinical diagnostic methods. However, manual reading of films requires high level of doctors, and it i...
Diagnosis, Computer-Assisted Deep Learning China Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Pneumoconiosis Occupational Diseases
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First Case Report Of Anca-Associated Vasculitis And Anthracosis Coexistence.

Journal of Ayub Medical College, Abbottabad : JAMC Jan 1, 2023
Anthracosis is a type of mild pneumoconiosis secondary to harmless carbon dust deposits. Although anthracosis was previously associated with inhaled coal particles, such as coal workers' pneumoconiosis, this hypothesis was later abandoned; pathology ...
Anthracosis Pneumoconiosis Humans Granuloma Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Dust Aged Positron Emission Tomography Computed Tomography Coal Male
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