Deep convolutional network-based chest radiographs screening model for pneumoconiosis
Xiao Li,
Ming Xu,
Ziye Yan
et al.
Abstract:BackgroundPneumoconiosis is the most important occupational disease all over the world, with high prevalence and mortality. At present, the monitoring of workers exposed to dust and the diagnosis of pneumoconiosis rely on manual interpretation of chest radiographs, which is subjective and low efficiency. With the development of artificial intelligence technology, a more objective and efficient computer aided system for pneumoconiosis diagnosis can be realized. Therefore, the present study reported a novel deep… Show more
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