CLC number: TP391
On-line Access: 2022-09-21
Received: 2022-03-16
Revision Accepted: 2022-09-21
Crosschecked: 2022-07-28
Cited: 0
Clicked: 1514
Citations: Bibtex RefMan EndNote GB/T7714
https://orcid.org/0000-0002-9666-2943
Jinxiao XIAO, Yansong LI, Yun TIAN, Dongrong XU, Penghui LI, Shifeng ZHAO, Yunhe PAN. Visual recognition of cardiac pathology based on 3D parametric model reconstruction[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2200102 @article{title="Visual recognition of cardiac pathology based on 3D parametric model reconstruction", %0 Journal Article TY - JOUR
基于三维参数模型重建的心脏病理视觉识别1北京师范大学人工智能学院,中国北京市,100875 2哥伦比亚大学精神病学系和纽约州立精神病学研究所,美国纽约市,10032 3浙江大学计算机科学与技术学院,中国杭州市,310027 摘要:心脏图像的视觉识别对于心脏病理诊断和治疗具有重要意义。由于可用标注数据集有限,传统方法通常基于三维心脏图像的二维切片对病理分类特征进行提取,难以确保心脏解剖结构的整体一致性。为此,本文提出一种基于三维参数模型重建的心脏病理分类方法。首先,基于收缩末期和舒张末期时相心脏图像的多个三维心脏成像数据重建三维心脏模型。其次,基于重建的三维心脏模型,通过统计形状模型方法构建三维参数模型。然后,基于三维统计形状模型及其视觉知识约束对心脏数据进行增强。最后,提取不同时相的三维心脏模型的形状和运动特征,对心脏病理进行分类。在STACOM公开挑战赛的ACDC数据集上的实验验证了所提方法的优越性和有效性。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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