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In the modern world, cancer has increasingly become a health problem. It has been listed as the first three disease among the ‘cause-known deaths’ in our country. Malignant Melanoma, one of the skin cancer types, is the cause of 75% of all skin cancer related deaths even though it is 4% of all skin cancer cases. The examination of the diseases are diagnosed through visual inspections by the dermatologists...
Skin lesions screening is an effective method for early detection of melanoma. Mostly, melanoma appears as hyper-pigmented area relative to the surrounding skin. Lesion segmentation is an indispensable step for skin lesions analysis. Automated segmentation is used to assist the dermatologist to isolate the suspicious lesion from the surrounding background. Iterative Otsu's method is state-of-art segmentation...
In this paper Eczema skin lesions are segmented and graded using image processing and analysis. For preprocessing adaptive light compensation and gamma correction has been used. The effect of color space normalization has been studied for lesion segmentation. K-means algorithm is used for segmentation. We have used RGB and CIELab color models; and their normalized I and II versions. The experimental...
Background: Skin cancer is among the most common types of cancer. Melanoma is the most fatal of all skin cancer types. The only effective treatment is early excision. Recognising melanoma is challenging both for general physicians and for expert dermatologists. A computer‐aided diagnostic system improving diagnostic accuracy would be of great importance. Segmenting the lesion from the skin is the...
Ulcered lesions on the legs and feet caused by venous insufficiency and other conditions require long-term clinical treatment and follow-up. To facilitate the analysis of the tissue composition of a lesion, we propose color imaging and image processing methods. Methods considering the bottom tissues are proposed for the segmentation of a given image into regions corresponding to red granulation, yellow...
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