Artificial intelligence assisted early gastric cancer screening system

An early gastric cancer and artificial intelligence technology, applied in computer-aided medical procedures, instruments, medical automated diagnosis, etc., can solve the problems of heavy gastric cancer workload, achieve high diagnostic efficiency, solve uneven distribution, and reduce work burden.

Pending Publication Date: 2020-09-25
沈阳智朗科技有限公司 +1
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide an artificial intelligence-assisted early gastric cancer screening system to solve the existing problem of manually analyzing gastroscope slice images to determine gastric cancer.

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  • Artificial intelligence assisted early gastric cancer screening system

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Embodiment Construction

[0018] The implementation of the present invention will be illustrated by specific specific examples below, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

[0019] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0020] figure 1 It is a structural block diagram of an artificial intelligence-assisted early gastric cancer screening system accor...

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Abstract

The embodiment of the invention discloses an artificial intelligence assisted early gastric cancer screening system, which comprises: a slice image acquisition module for acquiring a plurality of gastroscope slice images; an image fragment generation module for generating a plurality of image fragments with benign labels and a plurality of image fragments with malignant labels according to the gastroscope slice images; a model training module for obtaining a training set and a test set according to the plurality of image segments with the benign labels and the plurality of image segments withthe malignant labels, and generating an identification model for identifying whether the image segments are malignant or benign according to the training set and the test set; and a recognition outputmodule for recognizing a target gastroscope slice image according to the recognition model and outputting a recognition result. According to the invention, a pathologist can be effectively assisted in filtering a negative specimen which does not need to be reviewed by a professional pathologist, and the quality control of conventional pathological diagnosis is facilitated.

Description

technical field [0001] Embodiments of the present invention relate to the field of diagnostic equipment, and in particular to an artificial intelligence-assisted early gastric cancer screening system. Background technique [0002] Gastric cancer is a common malignant tumor of the digestive tract. The incidence of gastric cancer in Chinese men ranks second among malignant tumors, second only to lung cancer, and the incidence of gastric cancer in women ranks third among malignant tumors, after breast cancer and lung cancer. Early diagnosis is an important means to prevent tumor progression, guide treatment and improve patient survival, especially for gastric cancer. [0003] Artificial intelligence is the study of the laws of human intelligence activities. To construct an artificial system with certain intelligence, how to build a set of equipment that can screen early gastric cancer based on artificial intelligence is an urgent problem to be solved. Contents of the inventi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G16H50/20
CPCG16H30/20G16H50/20
Inventor 王翠芳孙洁范永刚王红军
Owner 沈阳智朗科技有限公司
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