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Skin Cancer System Detection Using K-Means Algorithm

机译:使用K-Means算法进行皮肤癌系统检测

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Melanoma is the type of skin cancer which will spread fast into the inner most layer of skin. The early detection of the skin tumor will avoid spreading of the disease, and also reduce the cancer cells. More methods are there to detect the harmful cancer present in the skin. Once the skin is infected by some disease, the patient should consult doctor and getting the suggestion from the doctor. The proposed work is used to early diagnosis of skin cancer at home before consulting doctor. The important aim in this proposed work is that it will find the cancer present in the skin using K-Means Algorithms. In this proposed system the input will be the image of the skin and the output will be the detection of the affected portion whether it is normal or abnormal. This proposed system helps us to save the time and gives the best result before consulting the doctor when compared with existing system.
机译:黑色素瘤是一种皮肤癌,会迅速扩散到皮肤最内层。早期发现皮肤肿瘤将避免疾病的传播,并减少癌细胞。有更多的方法来检测皮肤中存在的有害癌症。一旦皮肤感染了某种疾病,患者应咨询医生并听取医生的建议。这项提议的工作用于在咨询医生之前在家对皮肤癌进行早期诊断。这项工作的重要目标是,使用K-均值算法来发现皮肤中存在的癌症。在这个提议的系统中,输入将是皮肤的图像,输出将是检测受影响部分是否正常或异常。与现有系统相比,该系统有助于节省时间,并在咨询医生之前提供最佳结果。

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