Published Paper Details:

Today as information is in abundance on all the digital mediums as it has become an integral part of our daily life. This information can be used to improve various daily needs of our life from security, banking and healthcare etc. Using internet as a medium we can decrease the load on the human being to handle the data manually.so ,we thought of exploiting this information to help medical field as a medical imaging data is available in abundance on the internet freely Thus, medical image analysis will be very helpful to a medical practitioner. It will help in decreasing the work load of a doctor and him diagnosis the disease more accurately and increase his productivity to a new level. So, we thought of applying our idea on cancer disease. Today cancer has become very common disease and taking more lives yearly. Thus, automaticmedicalimaginganalysiswillbeabooninearlycancerdetection. In cancer we are going to analyze skin cancer images which has become a major health problem. So, we thought of designing a computer-aided diagnosis (CAD) system which will help in skin cancer detection and handling various stages of cancers using skin lesion images as the backend of our application So, we propose a system we are going to download skin lesion database from ISIC. ISIC contains a large free to use various stages of skin lesions. Then the SIFT algorithm will be applied on the images to extract features. The extracted features will then be saved in local database for further use. Then we will create training dataset by studying features with two classes benign and malignant. Thus, ?nally we apply Naive Bayes for classi?cation and get accurate classi?cation of skin lesion image given for testing. Thus, decision making and productivity of a medical practitioner can be improved so that he can concentrate on treatment and not diagnosis