Cervical Lesion Classification Method Based on Cross-Validation Decision Fusion Method of Vision Transformer and DenseNet

OBJECTIVE: In order to better adapt to clinical applications, this paper proposes a cross-validation decision-making fusion method of Vision Transformer and DenseNet161. METHODS: The dataset is the most critical acetic acid image for clinical diagnosis, and the SR areas are processed by a specific m...

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Detalles Bibliográficos
Autores principales: Li, Ping, Wang, Xiaoxia, Liu, Peizhong, Xu, Tianxiang, Sun, Pengming, Dong, Binhua, Xue, Huifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124126/
https://www.ncbi.nlm.nih.gov/pubmed/35607393
http://dx.doi.org/10.1155/2022/3241422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124126/
https://www.ncbi.nlm.nih.gov/pubmed/35607393
http://dx.doi.org/10.1155/2022/3241422

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