Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images

Abstract Cervical cancer is the second most common cancer in women worldwide with a mortality rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making early detection through regular checkups vitally immportant. In this study, we compare the performance of two dif...

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Autores principales: Ye Rang Park, Young Jae Kim, Woong Ju, Kyehyun Nam, Soonyung Kim, Kwang Gi Kim
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ad9f8069c7324947a784bd0318075e69
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