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...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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Nature Portfolio
2024-05-01
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| Saila: | Scientific Reports |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1038/s41598-024-61063-w |
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