Thyroid image processing method and device, electronic equipment and storage medium

An image processing and thyroid technology, applied in image data processing, image enhancement, image analysis, etc., can solve problems such as accuracy and efficiency need to be improved, recognition efficiency is low, and operators require high professional knowledge
CN113689412APending Publication Date: 2021-11-23中国人民解放军总医院第六医学中心

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
中国人民解放军总医院第六医学中心
Publication Date
2021-11-23

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Abstract

The invention provides a thyroid image processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected image, wherein the to-be-detected image comprises an image obtained by detecting a thyroid part; inputting the to-be-detected image into a preset deep learning model to obtain a first detection result of the preset deep learning model on the to-be-detected image; and when the first detection result shows that the thyroid nodules exist in the to-be-detected image, inputting a lesion image region representing that the thyroid nodules exist in the to-be-detected image in the first detection result into the tested machine learning model to obtain a second detection result of the machine learning model on the lesion image region. In the scheme, the to-be-detected image is detected in combination with the preset deep learning model and the machine learning model, and the machine learning model does not need to detect the image without the thyroid nodule and the area which is not the lesion image area, so that the operand can be reduced, the operation efficiency can be improved, and the thyroid nodule detection accuracy can be improved.
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Description

technical field

[0001] The present application relates to the field of computer image processing, in particular, to a thyroid image processing method, device, electronic equipment and storage medium. Background technique

[0002] At present, in the process of human thyroid nodule detection, ultrasonic detection is usually used to obtain images of the thyroid gland, and then the detected images are manually or machine-detected for thyroid nodules. Among them, the manual identification method requires high professional knowledge of the operators, and the identification efficiency is low. The way of machine recognition is limited by the processing method of the current network model, and the accuracy and efficiency of recognition need to be improved. Contents of the invention

[0003] The purpose of the embodiments of the present application is to provide a thyroid image processing method, device, electronic equipment, and storage medium, which can improve the accuracy and e...

Claims

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