Artificial intelligence pathology marking system

Abstract

The invention provides an artificial intelligence pathology marking system. The artificial intelligence pathology marking system can solve the reading problem and the marking problem of the multi-scan, multi-size and ultra-high resolution full-scan pathological images at the same time, and can realize the rapid storage and reading operation of the full-scan pathological images, so that the scanning speed of the full scan pathology image is no longer limited to the hardware device conditions of the system. The system artificial intelligence pathology marking system also adopts a more humanizedand convenient image annotation tool, so as to assist a doctor to conveniently and quickly mark on the suspected lesion region on the full scan pathological images, and at the same time can perform real-time storage of full-scan pathology images modified by the annotation so as to improve the efficiency and accuracy of the artificial intelligence image analysis technology to assist the doctor in making the diagnosis result.

Description

technical field [0001] The invention relates to the technical field of medical application of artificial intelligence, in particular to an artificial intelligence pathology labeling system. Background technique [0002] Artificial intelligence technology and big data processing technology are important development directions of science and technology today, and artificial intelligence technology and big data processing technology are complementary to each other. Artificial intelligence technology is based on big data technology to realize the training and optimization of corresponding models, and Big data technology relies on different models provided by artificial intelligence technology to analyze data in a certain field and make judgments on the development trend of the field. In fact, artificial intelligence technology has been widely used in different fields of daily life due to its own characteristics such as the accuracy of data analysis and trend judgment, the speed ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects existing in the prior art, the present invention provides an artificial intelligence pathological labeling system, which can perform artificial intelligence analysis and processing for pathological images with ultra-high resolution; the artificial intelligence pathological labeling system can simultaneously solve The reading and labeling of multi-level, large-size, and ultra-high-resolution full-scan pathological images can achieve fast storage and reading operations for full-scan pathological images, making the reading speed of full-scan pathological images comparable It is no longer limited to the hardware equipment conditions of the system, and the system also uses a more user-friendly and convenient image labeling tool, which can assist doctors to conveniently and quickly label suspected lesion areas on full-scan pathological images, and at the same time Annotated and modified full-scan pathological images are stored in real time for subsequent analysis and processing

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