文章基本信息

标题：Stenosis Detection with Deep Convolutional Neural Networks
本地全文：下载
作者：Karol Antczak ; Łukasz Liberadzki
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：210
DOI：10.1051/matecconf/201821004001
语种：English
出版社：EDP Sciences
摘要：Recent popularity of deep learning methods inspires to find new applications for them. One of promising areas is medical diagnosis support, especially analysis of medical images. In this paper we explore the possibility of using Deep Convolutional Neural Networks (DCNN) for detection of stenoses in angiographic images. One of the biggest difficulties is a need for large amounts of labelled data required to properly train deep model. We demonstrate how to overcome this difficulty by using generative model producing artificial data. Test results shows that DCNN trained on artificial data and fine-tuned using real samples can achieve up to 90% accuracy, exceeding results obtained by both traditional, feed-forward networks and networks trained using real data only.