Naser Alfed

Research Project

Automated Skin Lesion Diagnoses

Skin cancer is one of the most common forms of cancer, and may take the form of benign or melanoma tumours. The benign type can be considered less dangerous than malignant melanoma and can be cured successfully, whereas malignant melanoma is the deadliest form of skin lesion.  The automated detection of skin lesions has shown accurate results and helps dermatologists in better decision making. Recently, there has been a dramatic increase in the availability and wide spread use of smart technologies such as smart phones. This leads researchers to prefer using smart phones rather than computers; because they can be used by patients even in remote areas and are less time-consuming.  The use of smart technologies such as mobile phones and handy-scopes would be considered an efficient and low-cost method for detecting skin cancer. Four stages are commonly used in skin lesion classification from dermatoscopic images. 

Research Supervisors

Dr Fouad Khelifi, Prof.  Ahmed Bouridane, and Dr Huseyin Seker

Key Publications

Naser Alfed, Fouad Khelifi, Ahmed Bouridane Huseyin Seker, " Pigment network-based skin cancer detection,"  in Engineering in Medicine and Biology Society (EMBC),  37th Annual International Conference of the IEEE, 2015.