早期黑色素瘤计算机视觉检测方法综述

A. Kozachok, Andrei Andreevich Spirin, Elena Sergeevna Kozachok
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引用次数: 0

摘要

黑色素瘤是最具侵袭性的癌症之一,只有及早发现才能治疗。本文讨论了黑色素瘤视觉诊断的现有算法和方法。介绍了皮肤镜图像的自动诊断系统及其使用的方法。本文考虑了阻碍自动诊断系统发展的限制:缺乏相关的国内数据集,允许训练人工智能模型,患者元数据核算水平不足,在常规检查中存在黑色素瘤的人群覆盖率低。提出了一种由全科医生在皮肤镜图像分析中建立决策支持系统的变体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of methods for early melanoma computer vision detection
Melanoma is one of the most aggressive forms of cancer, which can be treated only with early detection of the disease. The article discusses the existing algorithms and methods of visual diagnosis of melanoma. The systems of automatic diagnosis of dermatoscopic images and the methods used by them are also considered. The article considers the limitations hindering the development of automatic diagnosis systems: the lack of relevant domestic data sets that allow training artificial intelligence models, insufficient level of patient metadata accounting, low coverage of the population for the presence of melanoma during routine examinations. A variant of building a decision support system by general practitioners in the analysis of dermatoscopic images of the skin is proposed.
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