Method and device for model training, method and device for measuring pulmonary hypertension
A technology of pulmonary arterial hypertension and measurement methods, applied in the field of model training, can solve problems such as large data gaps and class imbalances
Active Publication Date: 2022-05-27
INFERVISION MEDICAL TECH CO LTD
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However, in the process of actual operation, due to the large gap in the sample data of the training pulmonary artery diameter, the problem of class imbalance occurs from time to time.
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[0026] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0027] There are two common ways of judging pulmonary arterial hypertension: the first way is to directly use the classification model to classify the Computed Tomography (CT) images of patients, but this method is difficult to train and requires a large amount of data. Higher requirements and weak interpretability.
[0028] In the second approach, the classification network is first used to locate the best slices suitable f...
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The present application provides a method and device for model training, and a method and device for measuring pulmonary hypertension. The model training method includes: inputting sample data into the initial network model, and the sample data is marked with a pulmonary artery label, a bifurcation point label and a background At least one of the labels, wherein the pulmonary artery label and / or the bifurcation point label constitutes the foreground label; the sample data is classified by the first classification branch to obtain the first classification result; the sample data with the foreground label is processed by the second classification branch Classify to obtain a second classification result; obtain a final classification result based on the first classification result and the second classification result, and the final classification result is used to represent whether the sample data has a bifurcation point; perform model training according to the final classification result. In the present application, by combining and discriminating sample data with a small number of samples during the training process, it avoids the phenomenon of class imbalance due to the large data gap between samples during the model training process.
Description
technical field [0001] The present application relates to the technical field of deep learning, and in particular, to a method and device for model training, and a method and device for measuring pulmonary arterial hypertension. Background technique [0002] Pulmonary hypertension is a hemodynamic and pathophysiological state in which the pulmonary arterial pressure rises above a certain threshold. Pulmonary arterial hypertension can be an independent disease, a complication, or a syndrome, and its morbidity and mortality rates are high, so it is more important in clinical practice. At present, the main identification method is to measure the pulmonary artery diameter to predict whether there is pulmonary hypertension, so the measurement of pulmonary artery diameter becomes particularly important. [0003] At present, with the development of machine learning, the combination of machine learning and pulmonary hypertension prediction is the main trend of the moment. However,...
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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06F18/256G06F18/2415
Inventor 郝智黄文豪孙岩峰刘恩佑张欢王瑜王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD