Bone density instrument diagnosis system based on deep learning algorithm

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