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

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
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
Series:Scientific Reports
Subjects:
Cervical cancer
Classification
Pap smear
Deep neural network
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-61063-w

Internet

https://doi.org/10.1038/s41598-024-61063-w

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