Skin Cancer Detection Using GLCM and ABCD Parameter
نویسندگان
چکیده
منابع مشابه
Skin Cancer – Melanoma Detection in Skin Images Using Local Binary Pattern (LBP) and GLCM
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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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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Skin cancer is the deadliest form of cancers in humans. Skin cancer is commonly known as Melanoma. Skin Cancers are of two typesBenign and Malignant Melanoma. Melanoma can be cured completely if it is detected early. Both benign and malignant melanoma appear in similar. So it is difficult to differentiate both. This is a main problem with the early skin cancer detection. Only an expert dermatol...
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Brain tumor is a very harmful disease for human being. A tumor is a mass of tissue that's formed by an accumulation of abnormal cells. The location of tumors in the brain is one of the factors that determine how a brain tumor effects an individual's functioning. Image processing is an active research area in which medical image processing is a highly challenging field. For medical diagnosis of ...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Science, Engineering and Technology
سال: 2020
ISSN: 2394-4099,2395-1990
DOI: 10.32628/ijsrset207352