Location fusion and data augmentation for thoracic abnormalites detection in chest X-ray images
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Thông tin tài liệu:
This paper presents two methods to improve the accuracy of thoracic abnormalities detection in chest X-ray images. The first method is to fuse the locations of the same abnormality marked differently by radiologists. The second method is applying mosaic data augmentation in the training process to enrich the training data
Nội dung trích xuất từ tài liệu:
Location fusion and data augmentation for thoracic abnormalites detection in chest X-ray images
Nội dung trích xuất từ tài liệu:
Location fusion and data augmentation for thoracic abnormalites detection in chest X-ray images
Tìm kiếm theo từ khóa liên quan:
Chest X-ray image Thoracic abnormalities Deep learning Object detection Data augmentationTài liệu có liên quan:
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