Enhancing cervical cancer detection and robust classification through a fusion of deep learning models

Abstract Cervical cancer, the second most prevalent cancer affecting women, arises from abnormal cell growth in the cervix, a crucial anatomical structure within the uterus. The significance of early detection cannot be overstated, prompting the use of various screening methods such as Pap smears, c...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Sandeep Kumar Mathivanan, Divya Francis, Saravanan Srinivasan, Vaibhav Khatavkar, Karthikeyan P, Mohd Asif Shah
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-05-01
Subjects:	Cervical cancer Classification Pap smear Deep neural network Machine learning
Online Access:	https://doi.org/10.1038/s41598-024-61063-w