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Benign and malignant ulcer identification method and system

A malignant ulcer and recognition method technology, applied in character and pattern recognition, image analysis, image enhancement, etc., can solve the problems of heavy labeling workload, low precision, and insufficient recognition rate, so as to reduce workload, improve accuracy and Efficiency, the effect of improving the recognition rate

Active Publication Date: 2022-04-26
紫东信息科技(苏州)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because benign and malignant ulcer diseases appear similar in some pictures, it is difficult to make an accurate judgment through a single picture
Therefore, the recognition rate of the existing classification technology based on a single image is not high enough, and the labeling workload is relatively large, which leads to problems such as low efficiency and low precision.

Method used

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  • Benign and malignant ulcer identification method and system
  • Benign and malignant ulcer identification method and system
  • Benign and malignant ulcer identification method and system

Examples

Experimental program
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Embodiment 1

[0049] see figure 1 As shown, the present embodiment provides a method for identifying benign and malignant ulcers, comprising the following steps:

[0050] S1: Obtain sample data, each sample data includes multiple pictures, wherein the sample data includes unlabeled sample data and labeled sample data;

[0051] S2: Using the unlabeled sample data to perform encoding pre-training on the encoder, and obtain a pre-trained image representation encoder;

[0052] S3: Input the labeled sample data into the picture representation encoder, and output the feature representation of each picture;

[0053] S4: Perform feature fusion on the feature representation of each picture to obtain the ultimate feature representation of the picture;

[0054] S5: Perform category prediction based on the final feature representation of the picture.

[0055] In a method for identifying benign and malignant ulcers disclosed in an embodiment of the present invention, each sample data consists of mult...

Embodiment 2

[0085] A system for identifying benign and malignant ulcers disclosed in Embodiment 2 of the present invention is introduced below. The system for identifying benign and malignant ulcers described below and the method for identifying benign and malignant ulcers described above can be used for mutual reference.

[0086] see figure 2 As shown, Embodiment 2 of the present invention provides a system for identifying benign and malignant ulcers, including:

[0087] A data acquisition module 10, the data acquisition module 10 is used to acquire sample data, each sample data includes a plurality of pictures, wherein the sample data includes unlabeled sample data and labeled sample data;

[0088] An encoding pre-training module 20, the encoding pre-training module 20 is used to use the unlabeled sample data to perform automatic encoding pre-training on the encoder to obtain a pre-trained picture representation encoder;

[0089] A feature extraction module 30, the feature extraction ...

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Abstract

The invention relates to a benign and malignant ulcer recognition method, which comprises the following steps: acquiring sample data, each piece of sample data comprising a plurality of pictures, and the sample data comprising unlabeled sample data and labeled sample data; carrying out coding pre-training on the encoder by using the unlabeled sample data, and obtaining a pre-trained picture to represent the encoder; inputting labeled sample data into the picture representation encoder, and outputting the feature representation of each picture; performing feature fusion on the feature representation of each picture to obtain a feature ultimate representation of the picture; and performing category prediction based on the feature ultimate representation of the picture. According to the method, the encoder is adopted to pre-train the unlabeled sample data, and then the labeled sample data is used for classification prediction, so that the workload of data labeling can be remarkably reduced while more comprehensive picture representation can be obtained, and the precision and efficiency of picture recognition are greatly improved.

Description

technical field [0001] The invention relates to the technical field of image classification, in particular to a method and system for identifying benign and malignant ulcers. Background technique [0002] Gastric ulcer is a common peptic ulcer, which can be divided into benign gastric ulcer and malignant gastric ulcer. Malignant gastric ulcer is a kind of gastric cancer. Although the morbidity and mortality of gastric cancer have decreased significantly in the past 40-50 years, the morbidity and mortality of gastric cancer are still very high in China, accounting for 42.6% of the new cases in the world. % and 45.0% of fatal cases. Early detection of malignant gastric ulcer can greatly improve the survival rate of patients and reduce medical costs. Gastroscopy is an important means of early detection of malignant gastric ulcer. Judging whether a patient has benign or malignant ulcer disease based on gastroscope pictures usually requires a doctor with long experience in gas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T3/40G06T5/50G06V10/774G06V10/764G06K9/62
CPCG06T7/0012G06T7/11G06T3/4038G06T5/50G06T2207/20112G06T2207/20221G06T2207/30092G06F18/24G06F18/214
Inventor 鹿伟民李寿山戴捷
Owner 紫东信息科技(苏州)有限公司
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