Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers’ Health Examination Data

We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers’ health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic variables (D-CNN). The I-CNN and D-CNN models were tra...

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Detalles Bibliográficos
Autores principales: Heo, Seok-Jae, Kim, Yangwook, Yun, Sehyun, Lim, Sung-Shil, Kim, Jihyun, Nam, Chung-Mo, Park, Eun-Cheol, Jung, Inkyung, Yoon, Jin-Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352082/
https://www.ncbi.nlm.nih.gov/pubmed/30654560
http://dx.doi.org/10.3390/ijerph16020250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352082/
https://www.ncbi.nlm.nih.gov/pubmed/30654560
http://dx.doi.org/10.3390/ijerph16020250

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