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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Autores principales:	Sandeep Kumar Mathivanan, Divya Francis, Saravanan Srinivasan, Vaibhav Khatavkar, Karthikeyan P, Mohd Asif Shah
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-05-01
Colección:	Scientific Reports
Materias:	Cervical cancer Classification Pap smear Deep neural network Machine learning
Acceso en línea:	https://doi.org/10.1038/s41598-024-61063-w
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