Computer aided gastric cancer diagnosis method based on target tracking

Abstract

The invention discloses a computer aided gastric cancer diagnosis method based on target tracking and mainly solves the problem of lymph gland transfer judging in a gastric cancer diagnosis process in the field of medical imaging. The steps include 1 segmenting images; 2 extracting tracked targets; 3 forecasting tracking; 4 judging whether all target forecasting tracking is finished, if all target forecasting tracking is finished, a next step is performed, otherwise, the step 3 is returned; 5 matching features; and 6 identifying lymph gland. A method of computer aided medical diagnosis is applied to detection of gastric cancer lymph gland transfer, a large amount of stomach section images can be processed in a short period of time, detecting speed and accuracy rate are improved compared with traditional detection of gastric cancer lymph gland transfer, automatic identification of lymph gland of stomach section images is achieved, clinical diagnosis time is greatly shortened, and a better treatment opportunity is obtained for patients.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a computer-aided gastric cancer diagnosis method based on object tracking in the field of lymph node metastasis identification in the field of computer vision processing gastric cancer diagnosis. The invention can be used in the judgment and identification process of lymph node metastasis in the diagnosis of gastric cancer, completes the judgment, identification and detection of lymph node metastasis, and better assists clinical diagnosis in medical research. Background technique [0002] At present, gastric cancer imaging research is mainly based on traditional detection methods: the sample to be inspected is made into a target smear after a series of chemical treatments such as dilution and staining; experienced military doctors study and observe the target in the smear under a microscope The morphology and color characteristics of the nucleus and target pulp, acc...

AI Technical Summary

Problems solved by technology

[0002] At present, gastric cancer imaging research is mainly based on traditional detection methods: the sample to be inspected is made into a target smear after a series of chemical treatments such as dilution and staining; experienced military doctors study and observe the target in the smear under a microscope The morphology and color characteristics of the nucleus and target pulp, according to the relevant medical standards and combined with their own experience, make a diagnostic conclusion for the sample to be inspected. In the census, the population to be inspected is widely distributed and the number is large, so it is necessary to conduct a health census effectively There are the following problems: 1) the workload is very heavy, and the doctor is prone to fatigue and misjudgment; 2) the work efficiency is low, and the diagnosis result is easy to be delayed; 4) Some doctors in small and medium-sized cities in my country lack clinical experience and professional knowledge, and their diagnosis level is still worrying; It is necessary to develop an auxiliary diagnosis system suitable for my country's national conditions

The disadvantage of this method is that the manual setting of the cut-off level limits the effectiveness of this method, and the cut-off level value will vary due to the selected target samples, which will eventually lead to inaccurate and effective results.

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