Smart algorithms for Colposcopic Automated Risk Assessment (CARE)

Nirmala Ramanujam

doi:10.1117/12.2617142

7 March 2022 Smart algorithms for Colposcopic Automated Risk Assessment (CARE)

Nirmala Ramanujam

Proceedings Volume PC11950, Optics and Biophotonics in Low-Resource Settings VIII; PC1195001 (2022) https://doi.org/10.1117/12.2617142
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Despite development of technologies that have rendered cervical cancer largely preventable in high- income countries, women living in low and middle-income countries (LMICs) continue to bear the brunt of cervical cancer incidence and mortality. One strategy–highly sensitive human papillomavirus (HPV) testing–has been shown to reduce the incidence and mortality from cervical cancer when coupled directly with outpatient treatment for women with HPV-positive results. The effectiveness of an HPV screen & treat strategy comes at the cost of overtreatment. To address this challenge, our group has developed a low-cost, mobile colposcope, called the Pocket Colposcope, which has shown high concordance with standard colposcopy. Further, we have developed a Colposcopy Automated Risk Evaluation (Pocket CARE) algorithm using convolutional neural networks to diagnose cervical pre-cancer among women who are screen positive, facilitating triage of patients without complex equipment or experts.

Conference Presentation

Citation Download Citation

Nirmala Ramanujam "Smart algorithms for Colposcopic Automated Risk Assessment (CARE) ", Proc. SPIE PC11950, Optics and Biophotonics in Low-Resource Settings VIII, PC1195001 (7 March 2022); https://doi.org/10.1117/12.2617142

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available