ГЕНЕРАЦИЯ ЭХОКАРДИОГРАФИЧЕСКИХ ДВУХМЕРНЫХ ИЗОБРАЖЕНИЙ СЕРДЦА С ИСПОЛЬЗОВАНИЕМ ГЕНЕРАТИВНО-СОСТЯЗАТЕЛЬНОЙ НЕЙРОННОЙ СЕТИ С УСЛОВНЫМ ДИСКРИМИНАТОРОМ: статья в сборнике статей

Translated title of the contribution: GENERATION OF ECHOCARDIOGRAPHIC 2-DIMENSIONAL IMAGES OF THE HEART USING GENERATIVE ADVERSARIAL NETWORK WITH CONDITIONAL DISCRIMINATOR: chapter in book

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

One of the most significant tasks of echocardiography is the automatic delineation of the cardiac structures from 2D echocardiographic images. One of the most effective approaches is based on the deep convolutional neural networks. Nonetheless, it is necessary to use echocardiogram frames of the cardiac muscle, which show the boundaries of the cardiac structures annotated by experts to train it. However, the number of databases containing the necessary information is relatively small. Therefore, generated echocardiogram frames are used to increase the amount of training samples. The article proposes an improved method for generating echocardiograms using a generative adversarial neural network (GAN) with a patch-based conditional discriminator. It has been demonstrated that it is possible to improve the quality of generated echocardiogram frames in both two and four chamber views (AP4C, AP2C) using the masks of cardiac segmentation with sub-pixel convolution layer (pixel shuffle). t is expected that this method will improve the accuracy of solving the direct problem of automatic segmentation of the left ventricle.
Translated title of the contributionGENERATION OF ECHOCARDIOGRAPHIC 2-DIMENSIONAL IMAGES OF THE HEART USING GENERATIVE ADVERSARIAL NETWORK WITH CONDITIONAL DISCRIMINATOR: chapter in book
Original languageRussian
Title of host publicationАктуальные проблемы развития технических наук : сборник статей участников XXIII Областного конкурса научно-исследовательских работ «Научный Олимп» по направлению «Технические науки»
Subtitle of host publicationсборник статей
Place of PublicationЕкатеринбург
PublisherФедеральное государственное автономное образовательное учреждение высшего профессионального образования "Уральский федеральный университет им. первого Президента России Б.Н. Ельцина"
Pages66-73
Number of pages8
ISBN (Print)978-5-91256-507-6
Publication statusPublished - 2020

GRNTI

  • 28.23.00

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