Heart disease detection device, model training method and storage medium
A model training and model technology, applied in biological neural network models, character and pattern recognition, image data processing, etc., can solve problems such as inaccurate detection results and achieve reliable detection of heart disease
Pending Publication Date: 2021-03-12
CHISON MEDICAL TECH CO LTD
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[0006] The invention provides a heart disease detection device, a model training method and a computer-readable storage medium, which solves the problem of inaccurate detection results in related technologies
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[0055] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.
[0056] In order to enable those skilled in the art to better understand the solutions of the present invention, 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 Embodiments of some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0057] It should be noted that the terms "f...
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The invention relates to the technical field of ultrasonic image processing, and particularly discloses a model training method which comprises the following steps: acquiring sample ultrasonic information which comprises at least two sample ultrasonic cardiac videos, wherein the clinical information of the patient corresponds to each sample ultrasound cardiac video, and the real label correspondsto each sample ultrasound cardiac video; dividing the sample echocardiography video into a plurality of continuous frame short videos; extracting video features of all continuous frame short videos ineach sample echocardiography video; fusing the video features of all continuous frame short videos in each sample ultrasound cardiography video; aggregating and optimizing the video features of eachsample echocardiography video through a graph neural network algorithm; and training a classifier model used for obtaining a heart disease detection result of the ultrasonic cardiac video. The invention further discloses a heart disease detection device and a storage medium. The model training method provided by the invention can improve the accuracy of the heart disease detection result.
Description
technical field [0001] The invention relates to the technical field of ultrasonic image processing, in particular to a heart disease detection device, a model training method and a computer-readable storage medium. Background technique [0002] In the process of ultrasonic diagnosis, it is usually necessary to process the ultrasonic video to obtain the detection result, so the processing of the ultrasonic video is the most critical. [0003] In the prior art, traditional machine learning methods are usually used, such as support vector machines, logistic regression, random forests, etc., and a small part of them use 2D versions of convolutional neural networks for disease detection of ultrasound videos, such as heart disease detection. While the 2D version of the convolutional neural network is performing ultrasound video detection, it generally extracts a few pictures in the video for preprocessing (for example, using a neural network to segment the ventriculum atrium area...
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Login to View More IPC IPC(8): G06T7/00G06K9/00G06K9/62G06N3/04
CPCG06T7/0012G06T2207/10016G06T2207/10132G06T2207/30048G06V20/46G06V20/41G06V2201/031G06N3/045G06F18/253G06F18/214
Inventor 邵人杰赵明昌
Owner CHISON MEDICAL TECH CO LTD