Disclosed for the technical field of artificial intelligence and the application field of smart decision making is a system for output of a lumbar vertebra pathology diagnosis result, comprising: an image acquisition device, used to acquire a scanning sequence image of a lumbar vertebra; an image processing device, used to perform pre-processing on the scanning sequence image of the lumbar vertebra to obtain a disc layer scanning image, further used to input the disc layer scanning image into a neural network-based segmentation model for segmentation processing, and further used to acquire a lumbar vertebra pathology diagnosis result on the basis of a lumbar disc, a hernia lesion, and pathology grade marking lines that were segmented; and an output device, used to output the pathology diagnosis result. On the basis of the system for lumbar vertebra pathology diagnosis result output based on a neural network, a pathology diagnosis result can be automatically determined, additionally featuring the strength of a higher degree of accuracy in determination. The pathology diagnosis result is stored in a blockchain. The invention is able to improve diagnosis efficiency.
SYSTEM AND METHOD FOR OUTPUT OF LUMBAR VERTEBRA PATHOLOGY DIAGNOSIS RESULT BASED ON NEURAL NETWORK