Skip navigation

Naser Alfed

Naser AlfedResearch 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.


+

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

+
+

Virtual Tour

Get an insight into life at Northumbria at the click of a button! Come and explore our videos and 360 panoramas to immerse yourself in our campuses and get a feel for what it is like studying here using our interactive virtual tour.

Latest News and Features

More news
More events

Upcoming events

PwC - Office Open Event
Career opportunities and finding job vacancies
Interviews - what to expect, and how to prepare and perform well on the day

Back to top