Computational methods for the image segmentation of pigmented skin lesions: A review
Computational methods for the image segmentation of pigmented skin lesions: A review
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DOI：
10.1016/j.cmpb.2016.03.032
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发表时间：
2016-07-01
影响因子：
6.1
通讯作者：
Tavares, Joao Manuel R. S.
中科院分区：
文献类型：
--
作者：
Oliveira, Roberta B.;Filho, Mercedes E.;Tavares, Joao Manuel R. S.
背景和目标：由于皮肤癌影响全世界数百万人，因此已经开发了用于图像中色素沉着皮肤病变的分割的计算方法，以帮助皮肤科医生进行诊断。本文的目的是目前的方法进行审查，并概述了比较分析方面的几个基本步骤的图像处理，如图像采集，预处理和segmentation.Methods：已提出的技术，以实现这些任务进行了鉴定和审查。对于图像分割任务，根据其原理对技术进行了分类。结果：解释了每个步骤中使用的技术，并确定了它们的优点和缺点。此外，几个审查的技术应用于宏观和皮肤镜图像，以classification他们的result.Conclusions：皮肤病变的图像分割已成功地解决了许多研究，但是，有一个新的方法，以提高效率的需求。(C)2016爱思唯尔爱尔兰有限公司版权所有。
Background and objectives: Because skin cancer affects millions of people worldwide, computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in their diagnosis. This paper aims to present a review of the current methods, and outline a comparative analysis with regards to several of the fundamental steps of image processing, such as image acquisition, pre-processing and segmentation.Methods: Techniques that have been proposed to achieve these tasks were identified and reviewed. As to the image segmentation task, the techniques were classified according to their principle.Results: The techniques employed in each step are explained, and their strengths and weaknesses are identified. In addition, several of the reviewed techniques are applied to macroscopic and dermoscopy images in order to exemplify their results.Conclusions: The image segmentation of skin lesions has been addressed successfully in many studies; however, there is a demand for new methodologies in order to improve the efficiency. (C) 2016 Elsevier Ireland Ltd. All rights reserved.