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Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT
Cervical cell classification has important clinical significance in cervical cancer screening at early stages. However, there are fewer public cervical cancer smear cell datasets, the weights of each classes’ samples are unbalanced, the image quality is uneven, and the classification research result...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933771/ https://www.ncbi.nlm.nih.gov/pubmed/35342326 http://dx.doi.org/10.1007/s11042-022-12670-0 |