A Bayesian Approach for False Positive Reduction in CTC CAD

机译：贝叶斯方法在CTC CAD中的假阳性减少

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This paper presents an automated detection method for identifying colonic polyps and reducing false positives (FPs) in CT images. It formulates the problem of polyp detection as a probability calculation through a unified Bayesian statistical model. The polyp likelihood is modeled with a combination of shape and intensity features. A second principal curvature PDE provides a shape model; and the partial volume effect is considered in modeling of the polyp intensity distribution. The performance of the method was evaluated on a large multi-center dataset of colonic CT scans. Both qualitative and quantitative experimental results demonstrate the potential of the proposed method.

机译：本文提出了一种自动检测方法，用于识别结肠息肉并减少CT图像中的假阳性（FP）。它通过统一的贝叶斯统计模型将息肉检测问题表达为概率计算。息肉可能性是通过形状和强度特征的组合来建模的。第二主曲率PDE提供形状模型；在建立息肉强度分布模型时考虑了部分体积效应。在结肠CT扫描的大型多中心数据集上评估了该方法的性能。定性和定量实验结果都证明了该方法的潜力。

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来源
《Virtual colonoscopy and abdominal imaging : Computational challenges and clinical opportunities》|2010年|p.40-46|共7页
会议地点 Beijing(CN);Beijing(CN);Beijing(CN)
作者
Xujiong Ye; Gareth Beddoe; Greg Slabaugh;
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作者单位

Medicsight PLC, London, UK;

Medicsight PLC, London, UK;

Medicsight PLC, London, UK;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生物医学工程;在其他方面的应用;
关键词
colon CAD; colonic polyp detection; bayesian framework;

机译：结肠CAD;结肠息肉检测贝叶斯框架;

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3. A Bayesian approach to assessing small-study effects in meta-analysis of a binary outcome with controlled false positive rate [J] . Linyu Shi, Haitao Chu, Lifeng Lin Research Synthesis Methods . 2020,第4期

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4. A Bayesian Approach for False Positive Reductionin CTC CAD [C] . Xujiong Ye, Gareth Beddoe, Greg Slabaugh International Conference on Medical Image Computing and Computer-Assisted Intervention . 2011

机译：假阳性REANGEINIC CTC CAD的贝叶斯方法
5. Reduction of False Positives in Intrusion Detection Based on Extreme Learning Machine with Situation Awareness [D] . Burgio, Donald A. 2020

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6. Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD [O] . Ray Cody Mayo, Daniel Kent, Lauren Chang Sen, 2019

机译：减少乳房X光照片上的假阳性标记：使用基于人工智能的CAD的回顾性比较研究
7. A Bayesian Approach for False Positive Reduction in CTC CAD [O] . Ye, X., Beddoe, G., Slabaugh, G.G. 2011

机译：贝叶斯方法在CTC CAD中的假阳性减少

A Bayesian Approach for False Positive Reduction in CTC CAD

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