Location fusion and data augmentation for thoracic abnormalites detection in chest X-ray images
Số trang: 9
Loại file: pdf
Dung lượng: 3.67 MB
Lượt xem: 15
Lượt tải: 0
Xem trước 2 trang đầu tiên của tài liệu này:
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 augmentationGợi ý tài liệu liên quan:
-
8 trang 199 0 0
-
Application of convolutional neural network for detecting concrete cracks
4 trang 33 0 0 -
Modern approaches in natural language processing
25 trang 31 0 0 -
11 trang 31 0 0
-
Improving hand posture recognition performance using multi-modalities
10 trang 30 0 0 -
8 trang 29 0 0
-
91 trang 29 0 0
-
8 trang 28 0 0
-
Research on traffic congestion detection from camera images in a location of Da Lat
13 trang 27 0 0 -
Mô hình huấn luyện mạng nơ ron dựa trên ảnh mô phỏng
7 trang 23 0 0