Deep learning-based classification for lung opacities in chest x-ray radiographs through batch control and sensitivity regulation.
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ABSTRACT:
SUBMITTER: Chang IY
PROVIDER: S-EPMC9584230 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
Publications
Deep learning-based classification for lung opacities in chest x-ray radiographs through batch control and sensitivity regulation.
Chang I-Yun IY Huang Teng-Yi TY
Scientific reports 20221020 1
In this study, we implemented a system to classify lung opacities from frontal chest x-ray radiographs. We also proposed a training method to address the class imbalance problem presented in the dataset. We participated in the Radiological Society of America (RSNA) 2018 Pneumonia Detection Challenge and used the datasets provided by the RSNA for further research. Using convolutional neural networks, we implemented a training procedure termed batch control to manipulate the data distribution of p ...[more]
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