Novel cell morphology artificial intelligence automatic diagnosis method

Abstract

The invention provides a novel cell morphology artificial intelligence automatic diagnosis method and relates to the technical field of medical diagnosis. The method comprises steps of S1, establishing a data sharing system, and overlapping a cell morphology diagnosis platform; S2, carrying out a cytomorphological analysis conference, and researching blood cell morphology, bone marrow cell morphology and the like uploaded by a hospital end; and S3, establishing a data analysis model, setting a related program algorithm, and training an artificial intelligence robot. The artificial intelligencerobot is trained, cells can be automatically diagnosed by utilizing the self-learning and analysis capabilities of the artificial intelligence robot, compared with the prior art, the method is advantaged in that a huge database is not needed for comparison, a large amount of time is saved, accuracy of an analysis result is greatly improved, moreover, some new cellular morphology databases can becompletely analyzed, and thereby development of an artificial intelligence automatic diagnosis technology is accelerated.

Description

technical field [0001] The invention relates to the technical field of medical diagnosis, in particular to a new method for automatic diagnosis of cell morphology by artificial intelligence. Background technique [0002] Cell morphology is the study of the microstructure and submicrostructure of cells and their components, including the science of biomacromolecular structures that represent the phenomenon of cell life. Cells have various shapes, including spheres, polyhedrons, spindles and columns. etc. Due to the internal structure of cells and their own surface tension, as well as external mechanical pressure, various cells always maintain their own certain shape. There is a close relationship between the shape and function of cells. The content of cell morphology inspection is multifaceted. For blood routine, it mainly refers to the morphological classification of peripheral blood cell smears. While the analyzer gives the number of cells and other parameters, the blood fi...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a new method for automatic diagnosis of cell morphology by artificial intelligence, which solves the problem that the existing automatic diagnosis technology is still stuck in comparing with a huge database and searching for the same or similar data in the database , this method not only wastes a lot of time, but the accuracy of the analysis results is low. At the same time, some new cell morphology databases cannot be analyzed, which restricts the development of artificial intelligence automatic diagnosis technology.