Automatic dirt trail analysis in dermoscopy images.
Automatic dirt trail analysis in dermoscopy images.
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DOI：
10.1111/j.1600-0846.2011.00602.x
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发表时间：
2013-02
期刊：
影响因子：
--
通讯作者：
Rabinovitz HS
中科院分区：
文献类型：
--
作者：
Cheng B;Joe Stanley R;Stoecker WV;Osterwise CT;Stricklin SM;Hinton KA;Moss RH;Oliviero M;Rabinovitz HS
基底细胞癌（BCC）是美国最常见的癌症。皮肤镜是医生使用的设备，用于基于对通常为基底细胞癌所特有的皮肤病变结构的识别来促进对这些癌症的早期检测。一种新的病变结构，被称为“污垢痕迹”，呈现为深灰色、棕色或黑色的不同大小的点和团块，分布在边界不清晰的细长簇中，常常表现为曲线状的痕迹。在这项研究中，我们探索了一种“污垢痕迹”检测和分析算法，用于在皮肤镜皮肤病变图像中基于大小、分布和颜色对“污垢痕迹”进行提取、测量和特征描述。然后利用这些“污垢痕迹”自动区分基底细胞癌和良性皮肤病变。对于一个包含35张有“污垢痕迹”的基底细胞癌图像和79张良性病变图像的实验数据集，基于神经网络的分类器采用留一法得到了0.902的受试者工作特征曲线下面积，证明了“污垢痕迹”用于基底细胞癌病变区分的潜力。
Basal cell carcinoma (BCC) is the most common cancer in the U.S. Dermatoscopes are devices used by physicians to facilitate the early detection of these cancers based on the identification of skin lesion structures often specific to BCCs. One new lesion structure, referred to as dirt trails, has the appearance of dark gray, brown or black dots and clods of varying sizes distributed in elongated clusters with indistinct borders, often appearing as curvilinear trails. In this research, we explore a dirt trail detection and analysis algorithm for extracting, measuring, and characterizing dirt trails based on size, distribution, and color in dermoscopic skin lesion images. These dirt trails are then used to automatically discriminate BCC from benign skin lesions. For an experimental data set of 35 BCC images with dirt trails and 79 benign lesion images, a neural network-based classifier achieved a 0.902 area under a receiver operating characteristic curve using a leave-one-out approach, demonstrating the potential of dirt trails for BCC lesion discrimination.
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影响因子：
5.7
作者：
Dalal, Ankur;Moss, Randy H.;Stanley, R. Joe;Stoecker, William V.;Gupta, Kapil;Calcara, David A.;Xu, Jin;Shrestha, Bijaya;Drugge, Rhett;Malters, Joseph M.;Perry, Lindall A.
通讯作者：
Perry, Lindall A.
影响因子：
2.4
作者：
Salopek, TG;Kopf, AW;Yadav, S
通讯作者：
Yadav, S
影响因子：
13.8
作者：
Altamura, Davide;Menzies, Scott W.;Peris, Ketty
通讯作者：
Peris, Ketty
影响因子：
5.7
作者：
Wang, Hanzheng;Moss, Randy H.;Chen, Xiaohe;Stanley, R. Joe;Stoecker, William V.;Celebi, M. Emre;Malters, Joseph M.;Grichnik, James M.;Marghoob, Ashfaq A.;Rabinovitz, Harold S.;Menzies, Scolt W.;Szalapski, Thomas M.
通讯作者：
Szalapski, Thomas M.
影响因子：
--
作者：
Xu, Jin;Gupta, Kapil;Celebi, M. Emre
通讯作者：
Celebi, M. Emre