International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
Detection of Skin Cancer Using SVM POORNIMA M S1, Dr. SHAILAJA K2 1M.Tech(2nd
year)student, Biomedical signal processing and Instrumentation, Dept. of I.T., SJCE, Mysuru, Karnataka, India 2Associate Professor, Dept. of I.T., SJCE, Mysuru, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Detection of skin cancer in the earlier stage is
very Important and critical. In recent days, skin cancer is seen as one of the most Hazardous form of the Cancers found in Humans.. The detection of Melanoma cancer in early stage can be helpful to cure it. Computer vision can play important role in Medical Image Diagnosis and it has been proved by many existing systems. Skin cancer is found in various types such as Melanoma, Basal, Squamous cell Carcinoma, among which Melanoma is the most unpredictable. In this paper, we present a method for the detection of Melanoma Skin Cancer using Image processing tools. The input to the system is the skin lesion image and then by applying image processing techniques, it analyses to conclude about the presence of skin cancer. The Lesion Image analysis tools checks for the various Melanoma parameters, Color, Area perimeter, diameter etc by texture, size and shape analysis for image segmentation and feature stages. The extracted feature parameters are used to classify the image as Non Melanoma and Melanoma cancer lesion.
Melanoma is one of the deadly diseases among skin cancer. Melanoma detection can be done by dermatological screening and biopsy tests which are time consuming and expensive that requires experts from medical field. Due to cost of dermatologist to screen every patient, an automated system is needed for melanoma detection so that death rates can be minimized if detected early. Other skin diseases are eczema and impetigo are also detected in this proposed work. Eczema is one of the most widely known skin diseases, affecting about 10-20% of infants and 3% of adults and children. It is defined by itchiness combined with crusting, scaling and lichenification of skin often in reddish patches. Impetigo is a highly contagious skin condition. It usually occurs on the face, neck, and hands of young children and infants. Children who wear diapers also tend to get it around the diaper area.
1.1 PROPOSED WORK
Key Words: Melanoma, eczema, impetigo, LBP histogram, SVM.
1. INTRODUCTION Skin cancer is defined as the uncontrolled growth of cells in the skin. The malignant tumors are formed due to spreading of skin cells rapidly. Skin cancer can be mainly categorized as three types such as Basal cell carcinoma (BCC), Melanoma, and Squamous cell carcinoma (SCC). The non melanomas were BCC and SCC. The Skin Cancer Foundation (SCF) recently reported that melanoma is the most serious form of skin cancer because it is more likely to spread to other parts of the body. Once melanoma spreads beyond the skin to other parts of the body, it becomes hard to treat. However, early detection saves lives. Research shows that when melanoma is recognized and treated in its early stages, it is nearly 100% curable. According to Indian Cancer Society 2015, it has been reported that the skin cancer rates in India was higher as compared to other countries such as Canada, the US and the UK. It has been reported that nearly 125,693 new cancer cases are spotted but it was higher than 45,395 people are anticipated to death from cancer. Many people got treatment for melanoma but some are dying in the year. Š 2017, IRJET
|
Impact Factor value: 5.181
|
Fig -1: Block diagram of proposed work. The block diagram of proposed work is as shown in fig-1 which has segmentation, feature extraction and classification process with suitable algorithms. The skin ISO 9001:2008 Certified Journal
|
Page 3021