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

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 different mo...

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Detalles Bibliográficos
Autores principales: Park, Ye Rang, Kim, Young Jae, Ju, Woong, Nam, Kyehyun, Kim, Soonyung, Kim, Kwang Gi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352876/
https://www.ncbi.nlm.nih.gov/pubmed/34373589
http://dx.doi.org/10.1038/s41598-021-95748-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352876/
https://www.ncbi.nlm.nih.gov/pubmed/34373589
http://dx.doi.org/10.1038/s41598-021-95748-3

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