Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy

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• 作者：Ferdinand Dhombres ; Paul Maurice ; Stéphanie Friszer…
• 关键词：Application ontology ; Knowledge base ; Ectopic pregnancy
• 刊名：Journal of Biomedical Semantics
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：8
• 期：1
• 全文大小：2945KB
• 刊物主题：Algorithms; Computer Appl. in Life Sciences; Data Mining and Knowledge Discovery; Computational Biology/Bioinformatics; Bioinformatics; Combinatorial Libraries;
• 出版者：BioMed Central
• ISSN：2041-1480
• 卷排序：8

文摘

BackgroundEctopic pregnancy is a frequent early complication of pregnancy associated with significant rates of morbidly and mortality. The positive diagnosis of this condition is established through transvaginal ultrasound scanning. The timing of diagnosis depends on the operator expertise in identifying the signs of ectopic pregnancy, which varies dramatically among medical staff with heterogeneous training. Developing decision support systems in this context is expected to improve the identification of these signs and subsequently improve the quality of care. In this article, we present a new knowledge base for ectopic pregnancy, and we demonstrate its use on the annotation of clinical images.