Razmjooy Navid, Ashourian Mohsen, Karimifard Maryam, Estrela Vania V, Loschi Hermes J, do Nascimento Douglas, França Reinaldo P, Vishnevski Mikhail
Department of Electrical Engineering, Tafresh University, Tafresh, Iran.
Department of Electrical Engineering, Islamic Azad University, Majlesi Branch, Isfahan, Iran.
Curr Med Imaging. 2020;16(7):781-793. doi: 10.2174/1573405616666200129095242.
Cancer is currently one of the main health issues in the world. Among different varieties of cancers, skin cancer is the most common cancer in the world and accounts for 75% of the world's cancer. Indeed, skin cancer involves abnormal changes in the outer layer of the skin. Although most people with skin cancer recover, it is one of the major concerns of people due to its high prevalence. Most types of skin cancers grow only locally and invade adjacent tissues, but some of them, especially melanoma (cancer of the pigment cells), which is the rarest type of skin cancer, may spread through the circulatory system or lymphatic system and reach the farthest points of the body. Many papers have been reviewed about the application of image processing in cancer detection. In this paper, the automatic skin cancer detection and also different steps of such a process have been discussed based on the implantation capabilities.
癌症是当前全球主要的健康问题之一。在不同类型的癌症中,皮肤癌是全球最常见的癌症,占全球癌症的75%。事实上,皮肤癌涉及皮肤外层的异常变化。尽管大多数皮肤癌患者能够康复,但由于其高发病率,它仍是人们主要关注的问题之一。大多数类型的皮肤癌仅在局部生长并侵犯相邻组织,但其中一些,尤其是黑色素瘤(色素细胞癌),这是最罕见的皮肤癌类型,可能会通过循环系统或淋巴系统扩散并到达身体最远的部位。已经有许多关于图像处理在癌症检测中的应用的论文被综述。在本文中,基于植入能力讨论了皮肤癌的自动检测以及该过程的不同步骤。