SFTA and GLCM via LDA Classifier for Skin Cancer Detection
نویسندگان
چکیده
منابع مشابه
Detection of Cancerous and Non-cancerous Skin by using GLCM Matrix and Neural Network Classifier
Day by day the use of image processing is increasing. Now a days image processing is the part and parcel of medical science. By image processing many types of cancer are easily detected. Skin cancer is one of them. In this paper the proposed method detects two types of skin one is cancerous skin and another is affected but not cancerous skin. Skin cancers are most common cancer in human. Skin c...
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The skin properties like skin dryness, fungus and allergic symptoms i.e. etching kind of problem that may led to starting symptoms of malignant melanoma skin cancer. The correct identification of skin spots based on certain features is the key steps in detecting the skin cancer disease in advance. To improve the accuracy level, a k-means clustering is proposed followed by local binary pattern. ...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2020
ISSN: 1757-899X
DOI: 10.1088/1757-899x/932/1/012068