基于多视图半监督流行学习的左房壁瘤体积直接估算
首发时间:2017-05-03
摘要:左房壁瘤体积的准确估算在肿瘤的早期诊断和治疗计划中是一项具有实际应用价值的课题。然而由于左房壁瘤通常具有形态变化大、边界不明显以及与周围环境对比度低等特点,所以对左房壁瘤的分割无论对于人工或者计算机来说都是一个挑战性的工作。为了克服房壁瘤的形态不规则和周围环境复杂性,论文提出了一种新颖的多视图半监督流形学习算法对体积进行直接估算,它能够融合多视图特征并且充分利用监督信息和未标记样本生成区分度高和鲁棒性强的房壁瘤图像特征表达。然后基于房壁瘤图像的特征表达,利用随机森林模型直接估算房壁瘤体积。本文提出的方法在临床数据行进行了验证和与其它算法进行了比较,实验结果体现了提出方法在临床中的潜在应用价值。
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Direct Volume Estimation of Left Atrial Aneurysm Based on Semi-supervised Manifold Learning
Abstract:Accurate volume estimation of left atrial aneurysm plays a practically essential role in the early diagnosis and therapy planning.However, it is a challenging task due to huge shape variabilities of aneurysms, great appearance variations of images and low contrast with its surrounding, which tends to be intractable for manual and automatic segmentation.In this paper, we propose a novel volume estimation framework for direct estimation of atrial aneurysm volumes without segmentation.Accurate volume estimation with the help of Computer-aided technology (CAD) can significantly reduce the workload of doctors and provide valuably diagnostic information, which plays an important role in clinic practice.To handle the high variabilities and variations, we propose a new multi-view semi-supervised manifold learning (MSML) algorithm. MSML fuses multiple complementary features to generate compact, informative and discriminative aneurysm image representation by leveraging both labeled and unlabeled data. The MSML is able to jointly extract discriminate features that are directly related to aneurysm volumes while removing the redundant information, which enables more efficient and accurate volume estimation. Based on the obtained image representation by the MSML, we adopt random regression forests to conduct direct and efficient volume estimation.Experiments on a clinical dataset demonstrate the effectiveness of our proposed method for aneurysm volume estimation, indicating its potential use in clinical practice.
Keywords: left atrial aneurysm;volume estimation;machine learning
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No.4728225119405214****
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