Ultrasonic image classification device

An ultrasonic image and image technology, applied in the field of ultrasonic image classification devices, can solve the problems of high complexity of medical images, blood vessel interference, blurred edges, etc., and achieve the effects of improving processing efficiency, improving accuracy, and reducing data processing volume.

Active Publication Date: 2019-10-11
GUANGDONG UNIV OF TECH
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Problems solved by technology

Due to the high complexity of medical images, ultrasound images have a series of problems such as cell overlap, blurred edges, and blood vessel interfere

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  • Ultrasonic image classification device

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] Next, the ultrasonic image classification device provided by the embodiment of the present invention will be described in detail. figure 1 It is a schematic structural diagram of an ultrasonic...

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Abstract

The embodiment of the invention discloses an ultrasonic image classification device, and the device comprises a conversion unit which carries out the format conversion of an obtained ultrasonic image,and obtains a target ultrasonic image; and a residual error processing unit used for carrying out residual error processing on the target ultrasonic image to obtain a plurality of sub-images. According to the invention, residual error processing is carried out on the image, and the ultrasonic image can be segmented into a plurality of sub-images, so that the ultrasonic image can be divided into smaller image units for processing, and the accuracy of image analysis is effectively improved. Compared with the traditional convolution analysis, the residual error processing mode can reduce the data processing amount, so that the image classification processing efficiency is improved. And the determination unit analyzes the plurality of sub-images by using the trained capsule network to determine the image category to which the ultrasonic image belongs. The capsule network can obtain the correlation between the ultrasonic image and each image category by performing clustering analysis on the sub-images, so that the image category to which the ultrasonic image belongs can be evaluated more accurately.

Description

technical field [0001] The invention relates to the technical field of ultrasonic image processing, in particular to an ultrasonic image classification device. Background technique [0002] Papillary thyroid carcinoma is the most common type of cancer. The manifestations of papillary thyroid carcinoma can be divided into irregular shape, unclear border, uneven echo, calcification and other symptoms. Ultrasonography is the imaging study of choice. Medical imaging data is complex and diverse, and has high requirements for doctors' work. In the case where a large number of ultrasound images need to be diagnosed, the physician's diagnostic efficiency tends to decrease as the number of ultrasound images increases. Since the doctor's fatigue will increase the rate of misjudgment, the results combined with artificial intelligence and other related technologies can be pre-processed and sent to the doctor for judgment, which can greatly reduce the workload of the doctor and improve...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/24
Inventor 艾雄志王永华万频齐蕾
Owner GUANGDONG UNIV OF TECH
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