EVALUATING SAMPLING STRATEGIES OF DERMOSCOPIC INTEREST POINTS.
EVALUATING SAMPLING STRATEGIES OF DERMOSCOPIC INTEREST POINTS.
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DOI：
10.1109/isbi.2011.5872366
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发表时间：
2011-12-31
期刊：
影响因子：
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通讯作者：
Zouridakis G
中科院分区：
文献类型：
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作者：
Situ N;Wadhawan T;Hu R;Lancaster K;Yuan X;Zouridakis G
用于自动化黑色素瘤检测的计算机化系统的最关键组件之一是图像采样和提取特征的汇集。在本文中，我们提出了一种新的方法，采样和池的基础上相结合的空间池和图论功能。使用超过1，500张代表已知病理的色素性皮肤病变的图像的数据集来评估新方法的性能。在我们的比较中，我们包括几种方法，从简单的和多尺度采样的规则网格上更复杂的方法，如斑点和曲线结构检测器。我们的研究结果表明，尽管它的简单性，简单的采样在一个规则的网格提供了极具竞争力的性能，相比更复杂的方法，而多尺度采样只产生微不足道的改进。然而，所提出的方法在灵敏度和受试者工作特征曲线下的面积（95% t检验）方面提供了显着的性能改善，并且与所有其他方法相比，在特异性方面具有最佳性能。
Among the most critical components of a computerized system for automated melanoma detection is image sampling and pooling of the extracted features. In this paper, we propose a new method for sampling and pooling based on a combination of spatial pooling and graph theory features. The performance of the new method is evaluated using a dataset of more than 1,500 images representing pigmented skin lesions of known pathology. In our comparisons, we include several methods ranging from simple and multi-scale sampling on a regular grid to more sophisticated approaches, such as blob and curvilinear structure detectors. Our results show that, despite its simplicity, simple sampling on a regular grid provides highly competitive performance, compared to the more sophisticated approaches, while multi-scale sampling yields only trivial improvements. However, the proposed method provides significant performance improvement in terms of sensitivity and area under the receiver operating characteristic curve (95% t-test), and the best performance in terms of specificity compared to all other methods explored.