一种皮肤癌检测的智能算法

Amin Nazerzadeh, A. N. Houshyar, Ali Jahed
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引用次数: 1

摘要

如今,计算机视觉作为一个跨学科的领域正在医学、电子等不同领域发展。在该领域,检测,特别是图像分割是一项重要的任务,很难根据应用找到合适的任务。本文提出了一种新的从背景中分割病变的算法。该算法基于对数边缘检测器和迭代中值滤波。我们在20张皮肤镜图像上测试了我们的算法,并将病变检测结果与皮肤科医生手动分割的结果进行了比较。实验验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent Algorithm for Skin Cancer Detection
Nowadays, computer vision as an interdisciplinary field is growing in different areas such as medical, electronics, etc. In the field, detection and particularly image segmentation is an essential task in which is difficult to find the appropriate one based on the application. In this paper, a new algorithm is proposed to segment the lesion from background. The algorithm is based on log edge detector with iterative median filtering. We have tested our algorithm on 20 dermoscopic images and compare the lesion detection results with those manually segmented by dermatologists. The experiments represent the effectiveness of proposed algorithm.
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