Fractal analysis in the detection of colonic cancer images
Fractal analysis in the detection of colonic cancer images
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DOI：
10.1109/4233.992163
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发表时间：
2002-03-01
影响因子：
--
通讯作者：
Murray, A
中科院分区：
文献类型：
--
作者：
Esgiar, AN;Naguib, RNG;Murray, A
本研究的目的是研究分形维数在区分正常图像和癌性图像中的价值，并检查分形维数与传统纹理分析特征之间的关系。分析了来自结肠切片的 44 幅正常图像和 58 幅癌症图像。使用“留一法”分析方法将样本分类到每组中。通过分形分析，组间存在高度显着差异（P < 0.0001）。相关性和熵特征显示各组之间存在较大差异 (p < 0.0001)。尽管如此，在特征分析中添加分形分析将灵敏度从 90% 提高到 95%，特异性从 86% 提高到 93%。
The aim of this study was to investigate the value of fractal dimension in separating normal and cancerous images, and to examine the relationship between fractal dimension and traditional texture analysis features. Forty-four normal images and 58 cancer images from sections of the colon were analyzed. A "leave-one-out" analysis approach was used to classify the samples into each group. With fractal analysis there was a highly significant difference between groups (P < 0.0001). Correlation and entropy features showed greater differences between the groups (p < 0.0001). Nevertheless, the addition of fractal analysis to the feature analysis improved the sensitivity from 90% to 95% and specificity from 86% to 93%.