Cervical Cancer Detection
Primary Publication
Journal of The Institution of Engineers (India): Series B
10.1007/s40031-025-01248-7
Online First / Record
Published in the Journal of The Institution of Engineers (India): Series B, this research addresses the critical need for early cervical cancer detection. The study presents an automated system that integrates deep learning architectures with Extreme Learning Machines (ELM) to classify Pap smear images. By automating feature extraction and classification, the research aims to minimize manual subjectivity in diagnostic screening and provide a robust tool for pathologists.
Versions & Sources
Journal of The Institution of Engineers (India): Series B
10.1007/s40031-025-01248-7
Harvard ADS / NASA Astrophysics Data System
10.1007/s40031-025-01248-7
Cite this article
Pandey, A., Arora, J., Kohli, G.S.R. et al. Prediction of Cervical Cancer with Machine Learning Approaches. J. Inst. Eng. India Ser. B 107, 447–459 (2026). https://doi.org/10.1007/s40031-025-01248-7
Research Keywords
Institution
