Cargando…

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

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). PATIENTS AND METHODS: We enrolled 149 CWP patients and 68 dust-exposure workers for a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dong, Hantian, Zhu, Biaokai, Zhang, Xinri, Kong, Xiaomei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284687/ https://www.ncbi.nlm.nih.gov/pubmed/35840945 http://dx.doi.org/10.1186/s12890-022-02068-x

Ejemplares similares

Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms
por: Dong, Hantian, et al.
Publicado: (2023)

Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
por: Devnath, Liton, et al.
Publicado: (2022)

Silicosis and coal workers' pneumoconiosis.
por: Castranova, V, et al.
Publicado: (2000)

Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review
por: Devnath, Liton, et al.
Publicado: (2022)

Prevalence and pathogenesis of pneumoconiosis in coal workers.
por: Heppleston, A G
Publicado: (1988)

Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays
por: Devnath, Liton, et al.
Publicado: (2022)

Incidence and influencing factors of occupational pneumoconiosis: a systematic review and meta-analysis
por: Su, Xuesen, et al.
Publicado: (2023)

Descriptive Characteristics of Coal Workers' Pneumoconiosis Cases in Turkey
por: AYOGLU, Ferruh Niyazi, et al.
Publicado: (2014)

Mapping and Prediction of Coal Workers’ Pneumoconiosis with Bioavailable Iron Content in the Bituminous Coals
por: Huang, Xi, et al.
Publicado: (2005)

National History of Coal-Workers' Pneumoconiosis in Men over 65
por: Hildick-Smith, Marion
Publicado: (1983)

Effects of chemical composition on the lung cell response to coal particles: Implications for coal workers' pneumoconiosis
por: Song, Yong, et al.
Publicado: (2022)

Blood anti-oxidant parameters at different stages of pneumoconiosis in coal workers.
por: Engelen, J J, et al.
Publicado: (1990)

Polymorphisms in SPARC and Coal Workers' Pneumoconiosis Risk in a Chinese Population
por: Wang, Ting, et al.
Publicado: (2014)

Cost-effectiveness of comprehensive preventive measures for coal workers’ pneumoconiosis in China
por: Ge, Xiaoyan, et al.
Publicado: (2022)

Lipidomics Profiles and Lipid Metabolite Biomarkers in Serum of Coal Workers’ Pneumoconiosis
por: Chen, Zhangjian, et al.
Publicado: (2022)

The Potential Diagnostic Biomarkers for the IgG Subclass in Coal Workers' Pneumoconiosis
por: Li, Zhao-Guo, et al.
Publicado: (2023)

Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
por: Yang, Fan, et al.
Publicado: (2021)

Analysis of Histopathological Findings of Lung Carcinoma in Czech Black Coal Miners in Association with Coal Workers’ Pneumoconiosis
por: Tomášková, Hana, et al.
Publicado: (2022)

Deep Learning Classification of Tuberculosis Chest X-rays
por: Goswami, Kartik K, et al.
Publicado: (2023)

Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data
por: Paul, Rajib, et al.
Publicado: (2022)

Polymorphisms in Inflammasome Genes and Risk of Coal Workers' Pneumoconiosis in a Chinese Population
por: Ji, Xiaoming, et al.
Publicado: (2012)

Mortality in Miners with Coal-Workers’ Pneumoconiosis in the Czech Republic in the Period 1992–2013
por: Tomášková, Hana, et al.
Publicado: (2017)

Chronic Pulmonary Aspergillosis Infection in Coal Workers Pneumoconiosis With Progressive Massive Fibrosis
por: Vangara, Avinash, et al.
Publicado: (2022)

Prognostic Implication of Exfoliative Airway Pathology in Cancer-Free Coal Workers’ Pneumoconiosis
por: Cho, Uiju, et al.
Publicado: (2022)

Pneumoconiosis in Coal Miners: Anthracosilicosis after All?
por: Ronsmans, Steven, et al.
Publicado: (2022)

Time trends and future prediction of coal worker’s pneumoconiosis in opencast coal mine in China based on the APC model
por: Li, Yuting, et al.
Publicado: (2018)

The presence of promatrix metalloproteinase-3 and its relation with different categories of coal workers' pneumoconiosis.
por: Altin, Remzi, et al.
Publicado: (2004)

Screening of Serum Biomarkers of Coal Workers’ Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy
por: Chen, Zhangjian, et al.
Publicado: (2022)

Coal-Miners' Pneumoconiosis Problems in Its Pathological Course
por: Robertson, C. Kelman
Publicado: (1950)

Association of transforming growth factor-β1 gene variants with risk of coal workers' pneumoconiosis()
por: Qian, Haiyang, et al.
Publicado: (2010)

Polymorphisms in SELE Gene and Risk of Coal Workers' Pneumoconiosis in Chinese: A Case-Control Study
por: Wang, Ting, et al.
Publicado: (2013)

Polymorphisms in interleukin 17A gene and coal workers’ pneumoconiosis risk in a Chinese population
por: Han, Ruhui, et al.
Publicado: (2015)

Prevalence Characteristics of Coal Workers’ Pneumoconiosis (CWP) in a State-Owned Mine in Eastern China
por: Han, Lei, et al.
Publicado: (2015)

TNFR/TNF-α signaling pathway regulates apoptosis of alveolar macrophages in coal workers' pneumoconiosis
por: Qian, Qing-Zeng, et al.
Publicado: (2017)

Sputum Microbiota in Coal Workers Diagnosed with Pneumoconiosis as Revealed by 16S rRNA Gene Sequencing
por: Druzhinin, Vladimir G., et al.
Publicado: (2022)

Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient
por: Kumar, Rahul, et al.
Publicado: (2022)

Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography
por: Lin, Kuo-Hsuan, et al.
Publicado: (2023)

Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images
por: Huang, Guan-Hua, et al.
Publicado: (2022)

Cost-Effectiveness of Coal Workers' Pneumoconiosis Prevention Based on Its Predicted Incidence within the Datong Coal Mine Group in China
por: Shen, Fuhai, et al.
Publicado: (2015)

Estimates and Predictions of Coal Workers’ Pneumoconiosis Cases among Redeployed Coal Workers of the Fuxin Mining Industry Group in China: A Historical Cohort Study
por: Han, Bing, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_oisadkhm28cp8c0gk99u6fr0jc