Automatic detection of blue-white veil and related structures in dermoscopy images.

Automatic detection of blue-white veil and related structures in dermoscopy images.
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DOI:
10.1016/j.compmedimag.2008.08.003
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发表时间:
2008-12
影响因子:
5.7
通讯作者:
Soyer, H. Peter
Soyer, H. Peter
中科院分区:
工程技术2区
文献类型:
--
作者:
Celebi, M. Emre;Iyatomi, Hitoshi;Stoecker, William V.;Moss, Randy H.;Rabinovitz, Harold S.;Argenziano, Giuseppe;Soyer, H. Peter

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皮肤镜检查是一种非侵入性的皮肤成像技术,它可以使肉眼检查无法识别的色素性黑素细胞肿瘤的特征可视化。在皮肤镜图像中,诊断黑色素瘤最重要的特征之一是蓝白幕(不规则、无结构的融合蓝色色素沉着区域,上面覆盖着白色的“磨砂玻璃”样薄膜)。在本文中,我们提出了一种机器学习方法来检测皮肤镜图像中的蓝白幕及相关结构。该方法涉及使用决策树分类器进行上下文像素分类。在一组545张皮肤镜图像上,病变中检测到的蓝白区域百分比结合一个简单的形状描述符,得到了69.35%的敏感度和89.97%的特异度。在那些蓝幕是识别黑色素瘤的主要特征的病例中,检测蓝幕的敏感度上升到78.20%。
Dermoscopy is a non-invasive skin imaging technique, which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. One of the most important features for the diagnosis of melanoma in dermoscopy images is the blue-white veil (irregular, structureless areas of confluent blue pigmentation with an overlying white “ground-glass” film). In this article, we present a machine learning approach to the detection of blue-white veil and related structures in dermoscopy images. The method involves contextual pixel classification using a decision tree classifier. The percentage of blue-white areas detected in a lesion combined with a simple shape descriptor yielded a sensitivity of 69.35% and a specificity of 89.97% on a set of 545 dermoscopy images. The sensitivity rises to 78.20% for detection of blue veil in those cases where it is a primary feature for melanoma recognition.
DOI: 10.1109/51.482850
发表时间: 1996-01-01
影响因子: --
作者:
Hance, GA;Umbaugh, SE;Stoecker, WV
通讯作者: Stoecker, WV
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
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发表时间: 1994-04-01
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发表时间: 2003-02-01
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DOI: 10.1016/j.compmedimag.2007.01.003
发表时间: 2007-09-01
影响因子: 5.7
作者:
Celebi, M. Emre;Kingravi, Hassan A.;Moss, Randy H.
通讯作者: Moss, Randy H.