Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning

21 Aug 2019Mizuho NishioKoji FujimotoKaori Togashi

Rationale and objectives: Several studies have evaluated the usefulness of deep learning for lung segmentation using chest x-ray (CXR) images with small- or medium-sized abnormal findings. Here, we built a database including both CXR images with severe abnormalities and experts' lung segmentation results, and aimed to evaluate our network's efficacy in lung segmentation from these images... (read more)

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