A Study on Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images

E. Al-Mansour, M. Jaffar
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引用次数: 1

Abstract

Malignant Melanoma is one of the rare and the deadliest form of skin cancer if left untreated. Death rate due to this cancer is three times more than all other skin-related malignancies combined. Incidence rates of melanoma have been increasing, especially among young adults, but survival rates are high if detected early. There is a need for an automated system to assess a patient's risk of melanoma using digital dermoscopy, that is, a skin imaging technique widely used for pigmented skin lesion inspection. Although many automated and semi-automated methods are available to diagnose skin cancer but each has its own limitations and there is no final, state-of-the art technique to date which is able to be implemented in real scenario. This survey paper is based on techniques used to segment the skin cancer, analysis of their merits and demerits and their applications on advanced imaging techniques.
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皮肤镜图像中皮肤损伤的自动分割与分类研究
如果不及时治疗,恶性黑色素瘤是一种罕见且最致命的皮肤癌。这种癌症的死亡率是所有其他皮肤相关恶性肿瘤总和的三倍。黑色素瘤的发病率一直在上升,尤其是在年轻人中,但如果及早发现,存活率很高。需要一种自动化系统来评估患者患黑色素瘤的风险,该系统使用数字皮肤镜检查,即一种广泛用于色素皮肤病变检查的皮肤成像技术。虽然有许多自动化和半自动化的方法可用于诊断皮肤癌,但每种方法都有其局限性,目前还没有最终的、最先进的技术能够在实际情况中实施。这篇调查论文是基于用于分割皮肤癌的技术,分析了它们的优缺点及其在先进成像技术中的应用。
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