Vertebral plasty bone cement leakage detection method and system and storage medium
A technology of vertebroplasty and detection methods, applied in the fields of deep learning, computer vision, and intelligent medical image analysis technology, can solve problems such as easy judgment errors, low efficiency, and difficulty in ensuring the accuracy and consistency of detection and analysis results. Achieve the effect of reducing prediction time and solving poor consistency
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[0041] The implementation method of bone cement leakage detection in vertebroplasty based on deep learning includes marking X-ray images of bone cement, image key point detection model training, leakage judgment model training, and model deployment.
[0042] The X-ray images of bone cement during vertebroplasty in a tertiary hospital are used as a data set. The data set includes 6,000 X-ray images, including 5,000 images without leakage and 1,000 images with leakage.
[0043] According to attached image 3 As shown, mark the obtained intraoperative bone cement X-ray photos, use the marked images as a data set, and randomly select 80% of the pictures (4800) from the data set as the training set, and the remaining pictures (1200) as the test set. image 3 The middle circle marks the outline of the vertebra, and the triangle marks the outline of the bone cement.
[0044] as attached figure 2 Construct two neural networks, both based on the ResNet-50 model, remove the fully co...
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