Using deep‐learning techniques for pulmonary‐thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs
Pediatric Pulmonology2019Vol. 54(10), pp. 1617–1626
Citations Over TimeTop 10% of 2019 papers
E Longjiang, Baisong Zhao, Yunmei Guo, Changmeng Zheng, Mingjie Zhang, Jin Lin, Yunhao Luo, Yi Cai, Xingrong Song, Huiying Liang
Abstract
We built a pediatric CXR dataset and exploited a deep-learning model for accurate pulmonary-thoracic segmentations. Lung segmentation can notably improve the diagnosis of bacterial or viral pneumonia.
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