An Improved Image Classification Method for Cervical Precancerous Lesions Based on ShuffleNet

With the rapid development of deep learning, automatic lesion detection is used widely in clinical screening. To solve the problem that existing deep learning-based cervical precancerous lesion detection algorithms cannot meet high classification accuracy and fast running speed at the same time, a S...

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Detalles Bibliográficos
Autores principales: Fang, Shan, Yang, Jiahui, Wang, Minghui, Liu, Chunhui, Liu, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489397/
https://www.ncbi.nlm.nih.gov/pubmed/36148422
http://dx.doi.org/10.1155/2022/9675628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489397/
https://www.ncbi.nlm.nih.gov/pubmed/36148422
http://dx.doi.org/10.1155/2022/9675628

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