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Fetal ultrasound standard section image detection method, computer equipment and storage medium

A section image and target detection technology, which is applied in the field of image processing, can solve the problems of low practicability, low precision, and little significance of auxiliary section capture, etc., and achieve the effect of solving the long inspection time and improving the practicality

Pending Publication Date: 2020-12-18
HUNAN UNIV +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0008] However, the above-mentioned standard artificial intelligence-based face recognition method still has defects that cannot be ignored: (1) the real-time performance is difficult to meet the requirements of clinical trials; (2) the accuracy is low; Sectional grabbing is meaningless
In summary, the current fetal ultrasound standard slice image detection has low practicability

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  • Fetal ultrasound standard section image detection method, computer equipment and storage medium
  • Fetal ultrasound standard section image detection method, computer equipment and storage medium
  • Fetal ultrasound standard section image detection method, computer equipment and storage medium

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Embodiment Construction

[0036] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0037] The fetal ultrasonic standard section image detection method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The server obtains the original fetal ultrasonic section image; preprocesses the original fetal ultrasonic section image to obtain preprocessed fetal ultrasonic section data; inputs the preprocessed fetal ultrasonic section data into the pre-trained target detection processing model, and outputs The slice to which the origina...

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Abstract

The invention relates to a fetal ultrasound standard section image detection method, computer equipment and a storage medium. The method comprises the following steps: acquiring an original fetal ultrasonic section image; preprocessing the original fetal ultrasonic section image to obtain preprocessed fetal ultrasonic section data; inputting the preprocessed fetal ultrasonic section image into a pre-trained target detection processing model, and outputting a section to which the original fetal ultrasonic section image belongs and a detection result of whether the original fetal ultrasonic section image is standard or not. The method can improve the practicability of fetal ultrasound standard section image detection.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a fetal ultrasound standard section image detection method, computer equipment and storage media. Background technique [0002] With the development and wide application of ultrasound technology, prenatal ultrasonography has become an important part of prenatal diagnosis. The accurate acquisition of fetal ultrasound standard planes is very important for fetal biological measurement and disease diagnosis. In clinical practice, obtaining these standard planes is usually done manually. [0003] However, in the acquisition of the existing fetal ultrasound standard slice images, manually navigating the ultrasound probe to find the standard plane is a very challenging task, which requires a lot of knowledge of fetal anatomy, and the requirements for sonographers are quite high . Furthermore, each examination typically takes tens of minutes or more, even for experie...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10132G06T2207/20081G06T2207/30044
Inventor 李肯立黄诗华谭光华李胜利邢翔朱宁波文华轩
Owner HUNAN UNIV