The traditional process for detecting the cervical cancer is called Pap smear testing and it is the most widely used screening technique. The pathologists diagnose the smear according to its normality or abnormality. The huge number of slides to be analyzed requires an automated computer-aided system which can help in diagnosis process. This paper proposes architecture appropriate for a system that automatically scans the slides and extracts the regions of interests looking for signs of precancerous and cancerous changes.


Intelligent environment for medical assistance, Medical imaging and telemedicine, Intelligent measurement systems, Robots and intelligent positioning systems.