Evaluation of blood vessel detection methods

Evaluation of blood vessel detection methods
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血管检测方法评价

DOI:
10.1117/12.878723
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发表时间:
2011
期刊:
--
影响因子:
--
通讯作者:
Sadeghzadeh R
Sadeghzadeh R
中科院分区:
--
文献类型:
--
作者:
Sadeghzadeh R

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我们解决的问题,评估算法的性能检测曲线结构的医学图像。作为一个范例,我们考虑检测血管树,其中包含可变宽度和对比度的结构。常规评估方法的结果(其中直接将探测器输出与地面实况掩模进行比较)往往由大血管的探测所主导,并且无法充分捕获是否已经成功地探测到更精细、更低对比度的血管。我们提出并研究了三种替代评估策略。我们展示了使用标准和新的评估策略来评估一种新的方法的性能,用于检测血管视网膜造影,使用公开的DRIVE数据库。
We address the problem of evaluating the performance of algorithms for detecting curvilinear structures in medical images. As an exemplar we consider the detection of vessel trees which contain structures of variable width and contrast. Results for the conventional approach to evaluation, in which the detector output is compared directly with a groundtruth mask, tend to be dominated by the detection of large vessels and fail to capture adequately whether or not finer, lower contrast vessels have been detected successfully. We propose and investigate three alternative evaluation strategies. We demonstrate the use of the standard and new evaluation strategies to assess the performance of a novel method for detecting vessels in retinograms, using the publicly available DRIVE database.
DOI: 10.1109/nssmic.1995.501905
发表时间: 1995
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