Authors:
Paloma Andrade
and
Sesh Commuri
Affiliation:
University of Nevada, Reno, 1664 N Virginia St, Reno, NV, E.U.A.
Keyword(s):
Cervical Cancer, Portable Colposcope, Specular Reflections, Segmentation.
Abstract:
Cervical cancer is one of the most common cancers that affect women, with the highest incidence and mortality rates occurring in low- and middle-income countries. Early detection is crucial for successful treatment, but the need for expensive equipment, trained colposcopists, and clinical infrastructure has made it difficult to eradicate this disease. To address such limitations, we propose the development of a portable, low-cost colposcope that is easy to use, which uses image processing techniques to automate lesion detection and provides a quantitative measure to evaluate progression of the disease or to measure treatment efficacy. Through this paper, we present the development of a system that encompasses the above, and preliminary results show that we can achieve a low-cost bioinformatics-based screening for early detection of cervical cancer in a clinical setting.