| 中国心室分割方法研究与发展 |
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| 引用本文： | 芦俊池,冯朝路,赵大哲.中国心室分割方法研究与发展[J].计算机辅助设计与图形学学报,2019(3):364-377. |
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| 作者姓名： | 芦俊池 冯朝路 赵大哲 |
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| 作者单位： | 东北大学计算机科学与工程学院 |
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| 基金项目： | 国家自然科学基金(61602101);教育部基本科研业务费项目(N161604003;N150408001) |
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| 摘 要： | 心血管疾病已成为人类健康"头号杀手",直接或间接以并发症的形式危害人类健康,基于医学影像的心脏组织分割特别是心室分割能有效地提高心脏器质病变诊断效率与精度.文中对近15年来国内提出的多种心室分割方法进行综述,将分割精度验证数据集与评价指标进行整理,对现阶段心室分割工作中存在的问题予以总结,并展望了该领域未来的发展方向.
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| 关 键 词： | 心室分割 数据集 模型方法 评价指标 |
State of the Art and Trend of Cardiac Ventricle Segmentation in China |
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| Lu Junchi,Feng Chaolu,Zhao Dazhe.State of the Art and Trend of Cardiac Ventricle Segmentation in China[J].Journal of Computer-Aided Design & Computer Graphics,2019(3):364-377. |
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| Authors: | Lu Junchi Feng Chaolu Zhao Dazhe |
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| Affiliation: | (School of Computer Science and Engineering,Northeastern University,Shenyang 110819) |
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| Abstract: | Cardiovascular diseases have become the number one killer of human health,which harm people’s health directly or indirectly in the form of complications.As the precondition and foundation of cardiac function analysis,segmentation of cardiac tissues from medical images,especially segmentation of cardiac ventricles,can effectively improve the accuracy and efficiency of cardiac function diagnoses.In this paper,ventricle segmentation methods proposed in recent 15 years in China are overviewed.Validation of segmentation accuracy,data set and evaluation metrics are summarized.Finally,existing challenges and development tendency are discussed. |
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| Keywords: | ventricle segmentation data set model method evaluation indicator |
| 本文献已被 CNKI 维普 等数据库收录！ |
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