Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification

Artificial intelligence (AI) technologies have resulted in remarkable achievements and conferred massive benefits to computer-aided systems in medical imaging. However, the worldwide usage of AI-based automation-assisted cervical cancer screening systems is hindered by computational cost and resourc...

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Detalles Bibliográficos
Autores principales: Chen, Wen, Shen, Weiming, Gao, Liang, Li, Xinyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101629/
https://www.ncbi.nlm.nih.gov/pubmed/35590961
http://dx.doi.org/10.3390/s22093272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101629/
https://www.ncbi.nlm.nih.gov/pubmed/35590961
http://dx.doi.org/10.3390/s22093272

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