39 results about "Low bone mass" patented technology

The invention relates to the technical field of medical image segmentation and image classification, in particular to a centrum bone mineral density classification method based on radiomics and deep learning feature fusion, centrum under a CT image is divided into an osteoporosis group, a low bone mass group and a normal group, and the centrum bone mineral density classification method comprises the following steps: S1, establishing a centrum segmentation network based on CRF and attention guidance, and obtaining centrum cancellous bone masks L1 and L2; s2, deep learning feature extraction is performed on the feature map fused by the L1 and the L2 through GCAM-Net, and radiomics feature extraction is performed by using CT images and masks of the L1 and the L2; and S3, extracting an optimal feature set from the deep learning features by using a differential evolution algorithm, carrying out feature screening on the extracted radiomics features through an SVM-RFE method, finally carrying out feature fusion on the radiomics features and the deep learning features through a maximum correlation fusion algorithm, and carrying out classification by using a neural network. According to the technical scheme, deep learning features and radiomics features are combined, and the accuracy of bone mineral density classification is effectively improved.