Bone density instrument diagnosis system based on deep learning algorithm

Abstract

The invention relates to a bone density instrument diagnosis system based on a deep learning algorithm, and belongs to the field of medical informatization. A plurality of linear transformations are used for carrying out multi-dimensional abstract processing on data, shallow information of an original image is adjusted and recombined into a plurality of pieces of shallow information, and high-level information with sampling performance and representativeness is obtained. Advanced information is combined and utilized, the internal relation and the fundamental essence of an original picture arereflected, when a bone area is segmented, the characteristics of blood vessels and bones can be distinguished, the blood vessels attached to the bones are divided, and compared with traditional imagesegmentation, the deep learning image segmentation can better extract global characteristics and combine upper and lower layer information. The reliability and the anti-noise capability are improved.Image segmentation based on deep learning has a strong feature extraction capability, and extracted features can be combined with local and global features. The accuracy of dividing the region of interest is improved.

Description

technical field [0001] The invention belongs to the field of medical informatization, and relates to a bone densitometer diagnosis system based on a deep learning algorithm. Background technique [0002] At present, the methods used to measure bone density on the market mainly include photon absorption method, quantitative CT method, ultrasound method and dual energy X-ray absorption method. The photon absorption method uses the isotope radioactive source to emit two kinds of rays of different energies, and measures their absorption rate through the bone and soft tissue; the quantitative method can measure the body density of any part, with high precision, but the radiation dose is large, the cost is high, and the scanning speed is slow; ultrasound The method is to measure the density and strength of bone by using the difference of ultrasonic propagation speed and intensity attenuation coefficient in different media. This method has no radiation and low cost, but has low pr...

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Problems solved by technology

[0009] In view of this, the purpose of the present invention is to provide a bone densitometer diagnostic system based on deep learning algorithm to solve the problem of weakening or eliminating the edge of bone and soft tissue caused by the traditional edge detection algorithm. This system improves the measurement accuracy of bone density and is more Fast and accurate identification of skeletal regions

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