Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images.
Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images.
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DOI：
10.1016/j.compmedimag.2010.09.006
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发表时间：
2011-03
影响因子：
5.7
通讯作者：
Szalapski, Thomas M.
中科院分区：
文献类型：
--
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.
在以前的研究中，基于分水岭的算法被证明对皮肤镜图像中的自动病变分割是有用的，并在一组100个良性和恶性黑色素瘤图像上进行了测试，其中使用三组皮肤科医生绘制的边界的平均值作为基础事实，导致总体误差为15.98%。在这项研究中，为了减少边界检测错误，神经网络分类器被用来改善第一遍分水岭分割;一种新的“边缘对象值（EOV）阈值”的方法被用来消除大的光团附近的病变边界;和噪声去除程序被应用到减少半岛形的假阳性区域。结果，总体误差为11.09%。
In previous research, a watershed-based algorithm was shown to be useful for automatic lesion segmentation in dermoscopy images, and was tested on a set of 100 benign and malignant melanoma images with the average of three sets of dermatologist-drawn borders used as the ground truth, resulting in an overall error of 15.98%. In this study, to reduce the border detection errors, a neural network classifier was utilized to improve the first-pass watershed segmentation; a novel “Edge Object Value (EOV) Threshold” method was used to remove large light blobs near the lesion boundary; and a noise removal procedure was applied to reduce the peninsula-shaped false-positive areas. As a result, an overall error of 11.09% was achieved.
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影响因子：
--
作者：
Hance, GA;Umbaugh, SE;Stoecker, WV
通讯作者：
Stoecker, WV
DOI：
10.1109/jstsp.2008.2010631
发表时间：
2009-02-01
影响因子：
7.5
作者：
Zhou, Huiyu;Schaefer, Gerald;Celebi, M. Emre
通讯作者：
Celebi, M. Emre
DOI：
10.1111/j.1600-0846.2008.00301.x
发表时间：
2008-08
期刊：
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
影响因子：
--
作者：
Celebi ME;Kingravi HA;Iyatomi H;Aslandogan YA;Stoecker WV;Moss RH;Malters JM;Grichnik JM;Marghoob AA;Rabinovitz HS;Menzies SW
通讯作者：
Menzies SW
影响因子：
2.2
作者：
Erkol, B;Moss, RH;Hvatum, E
通讯作者：
Hvatum, E
影响因子：
5.7
作者：
Celebi, M. Emre;Iyatomi, Hitoshi;Schaefer, Gerald;Stoecker, William V.
通讯作者：
Stoecker, William V.