A Data-Efficient Framework for the Identification of Vaginitis Based on Deep Learning

Vaginitis is a gynecological disease affecting the health of millions of women all over the world. The traditional diagnosis of vaginitis is based on manual microscopy, which is time-consuming and tedious. The deep learning method offers a fast and reliable solution for an automatic early diagnosis...

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Detalles Bibliográficos
Autores principales: Hao, Ruqian, Liu, Lin, Zhang, Jing, Wang, Xiangzhou, Liu, Juanxiu, Du, Xiaohui, He, Wen, Liao, Jicheng, Liu, Lu, Mao, Yuanying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898862/
https://www.ncbi.nlm.nih.gov/pubmed/35265294
http://dx.doi.org/10.1155/2022/1929371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898862/
https://www.ncbi.nlm.nih.gov/pubmed/35265294
http://dx.doi.org/10.1155/2022/1929371

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