Early Detection and Classification of Melanoma Skin Cancer
Author(s) -
Abbas H. Hassin Alasadi,
Baidaa M. Alsafy
Publication year - 2015
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2015.12.08
Subject(s) - computer science , melanoma , cancer detection , skin cancer , artificial intelligence , dermatology , cancer , medicine , cancer research
Melanoma is a form of cancer that begins in\udmelanocytes (cells that make the pigment melanin). It can\udaffect the skin only, or it may spread to the organs and\udbones. It is less common, but more serious and aggressive\udthan other types of skin cancer. Melanoma can be of\udbenign or malignant. Malignant melanoma is the\uddangerous condition, while benign is not. In order to\udreduce the death rate due to malignant melanoma skin\udcancer, it is necessary to diagnose it at an early stage.\udIn this paper, a detection system has been designed for\uddiagnosing melanoma in early stages by using digital\udimage processing techniques. The system consists of two\udphases: the first phase detects whether the pigmented skin\udlesion is malignant or benign; the second phase\udrecognizes malignant melanoma skin cancer types. Both\udfirst and second phases have several stages. The\udexperimental results are acceptable
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