Appling of evolutionary computing to accelerate for melanoma cancer detection

Abstract

The incidences of malignant melanoma are increasing worldwide. This type of cancer can occur at any age which makes it one of the leading causes of loss of life in young persons. Since this cancer can be visualized easily on the skin of the patients, it is potentially detectable and thus curable at early stages. Nowadays with the help of new developments fully automatic early melanoma detection is really possible. With the advent of dermoscopy, the diagnostic ability to detect melanoma at a very early stage has been increased drastically. Large collections of dermoscopy images of melanomas and benign lesions that are validated by histopathology are now available only because of the adoption of this technology at a global level. A distinction of malignant melanoma from the many benign mimics (that do not require biopsy) is now possible due to the development of advanced technologies in the areas of image processing and machine learning. Not only the earlier detection of melanoma is now possible but also there is a reduction in needless and costly biopsy procedures, only due to these new technologies. However, 3-D feature projection in dermoscopy is a new age method to extract and detect chances of melanoma on the basis of the 3-D reconstruction. The article reviews the impact and importance of computer assisted 3-D imaging.