Evaluation of the Diagnostic Accuracy of Cervical Cell Morphologies from Android Device-Captured Cytopathological Microscopic Images through Artificial Intelligence in Mainly Rural or Resource-Constraint Areas of India
AI offers a lot of promise for diagnosing cervical cancer, and its uses in cervical cytology screening are particularly well-established. Manual screening of cervical cytology smears is a time-tested method, but AI is set to revolutionize the process by improving outreach, availability, accuracy and economy. A total of 292 hospital in-house Pap smear images have been validated and examined in this study with significant accuracy percentages between AI and expert eyes.
Authors
- Soumyabroto Banerjee
- Moumita Maiti (ORCID: https://orcid.org/0000-0001-9460-4347)
- Arindam Karmakar (ORCID: https://orcid.org/0000-0002-3726-6596)
- Arindam Ray
- Swati Dasgupta
- Sayan Dey
- Prosenjit Saha
- Umar Faruk
- Priyabrata Das
Institutions
- Calcutta National Medical College and Hospital (IN)
- Nil Ratan Sircar Medical College and Hospital (IN)
- Chittaranjan National Cancer Institute (IN)
- TCG Lifesciences (India) (IN)
- Medical College and Hospital, Kolkata (IN)
Publication Details
- Journal
- Asian Pacific Journal of Cancer Prevention
- Published
- 2026-02-01
- DOI
- https://doi.org/10.31557/apjcp.2026.27.2.601
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00