Novel cell morphology artificial intelligence automatic diagnosis method

An artificial intelligence and automatic diagnosis technology, applied in the field of medical diagnosis, can solve problems such as wasting time, low accuracy of analysis results, and inability to analyze cell shape databases, and achieve the effects of saving time, speeding up development, and improving accuracy

Pending Publication Date: 2020-02-07
杭州憶盛医疗科技有限公司
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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 search...

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Embodiment

[0037] The embodiment of the present invention provides a new method for automatic diagnosis of cell morphology artificial intelligence, comprising the following steps:

[0038] S1. Establish a data sharing system and connect with the cytomorphological diagnosis platform;

[0039] S2. Carry out cell morphology analysis meetings, and study the morphology of blood cells and bone marrow cells uploaded by the hospital;

[0040] S3. Establish a data analysis model, set up relevant program algorithms, and train artificial intelligence robots;

[0041] S4. Import the cell morphology into the artificial intelligence robot, generate a cell morphology analysis report, and analyze the report content;

[0042] S5. Import images and video data of blood cells and bone marrow cells into the artificial intelligence robot, automatically diagnose and output the results.

[0043] In step 1, a data sharing system is established to connect the cytomorphological diagnosis platform, as follows:

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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...

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Application Information

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IPC IPC(8): G16H50/20
CPCG16H50/20
Inventor 曹小伍雷铭轩
Owner 杭州憶盛医疗科技有限公司
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