Automating the ABCD Rule for Melanoma Detection: A Survey
Automating the ABCD Rule for Melanoma Detection: A Survey
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DOI：
10.1109/access.2020.2991034
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Yang, Guang
中科院分区：
文献类型：
--
作者：
Ali, Abder-Rahman H.;Li, Jingpeng;Yang, Guang
ABCD规则是一个简单的框架，医生，新手皮肤科医生和非医生可以用来了解黑色素瘤在其早期可治愈阶段的特征，从而提高黑色素瘤的早期检测。由于ABCD规则特征的解释是主观的，因此在文献中已经提出了不同的解决方案来解决这种主观性，并为不同的特征提供客观的评价。本文回顾了文献中对自动化不对称，边界不规则性，颜色杂色和直径的主要贡献，其中所涉及的不同方法已经突出。这项调查可以作为一个重要的参考研究人员有兴趣在自动化的ABCD规则。
The ABCD rule is a simple framework that physicians, novice dermatologists and non-physicians can use to learn about the features of melanoma in its early curable stage, enhancing thereby the early detection of melanoma. Since the interpretation of the ABCD rule traits is subjective, different solutions have been proposed in literature to tackle such subjectivity and provide objective evaluations to the different traits. This paper reviews the main contributions in literature towards automating asymmetry, border irregularity, color variegation and diameter, where the different methods involved have been highlighted. This survey could serve as an essential reference for researchers interested in automating the ABCD rule.