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Melanoma Recognition with an Ensemble of Techniques for Segmentation and a Structural Analysis for Classification

2018-07-18 13:10:56
Christoph Rasche
arXiv_CV
         
Abstract

An approach to lesion recognition is described that for lesion localization uses an ensemble of segmentation techniques and for lesion classification an exhaustive structural analysis. For localization, candidate regions are obtained from global thresholding of the chromatic maps and from applying the K-Means algorithm to the RGB image; the candidate regions are then integrated. For classification, a relatively exhaustive structural analysis of contours and regions is carried out.

Abstract (translated)

描述了病变识别的方法，其中病变定位使用分段技术的集合并且用于病变分类的穷举结构分析。对于定位，候选区域是从彩色图的全局阈值处理和从将K-Means算法应用于RGB图像获得的;然后整合候选区域。对于分类，进行轮廓和区域的相对详尽的结构分析。

URL

https://arxiv.org/abs/1807.06905

PDF

https://arxiv.org/pdf/1807.06905.pdf

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