Fuzzy Color Clustering for Melanoma Diagnosis in Dermoscopy Images
نویسندگان
چکیده
منابع مشابه
Fuzzy Color Clustering for Melanoma Diagnosis in Dermoscopy Images
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermoscopy images. The approach extends previous research for utilizing a fuzzy set for skin lesion color for a specified class of skin lesions, using alpha-cut and support set cardinality for quantifying a fuzzy ratio skin lesion color feature. Skin lesion disc...
متن کاملMelanoma Analysis using Dermoscopy Images
-Melanoma is the most dangerous type of skin cancer. Uncontrolled growth of cancer cells are mostly occurs in melanocytes. In spite of, to prevent its deadly consequences and for treatment to be efficient, to perform the early diagnostic of the melanoma efficient treatment is necessary. The diagnostic of melanoma, without any support is not possible, therefore dermoscopy was created. Dermoscopy...
متن کاملComputer-aided dermoscopy for diagnosis of melanoma
BACKGROUND Computer-aided dermoscopy using artificial neural networks has been reported to be an accurate tool for the evaluation of pigmented skin lesions. We set out to determine the sensitivity and specificity of a computer-aided dermoscopy system for diagnosis of melanoma in Iranian patients. METHODS We studied 122 pigmented skin lesions which were referred for diagnostic evaluation or co...
متن کاملDeep learning ensembles for melanoma recognition in dermoscopy images
Melanoma is the deadliest form of skin cancer. While curable with early detection, only highly trained specialists are capable of accurately recognizing the disease. As expertise is in limited supply, automated systems capable of identifying disease could save lives, reduce unnecessary biopsies, and reduce costs. Toward this goal, we propose a system that combines recent developments in deep le...
متن کاملSegmentation of color lip images by spatial fuzzy clustering
In this paper, we describe the application of a novel spatial fuzzy clustering algorithm to the lip segmentation problem. The proposed spatial fuzzy clustering algorithm is able to take into account both the distributions of data in feature space and the spatial interactions between neighboring pixels during clustering. By appropriate preand postprocessing utilizing the color and shape properti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information
سال: 2017
ISSN: 2078-2489
DOI: 10.3390/info8030089