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Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task
An algorithm framework based on CycleGAN and an upgraded dual-path network (DPN) is suggested to address the difficulties of uneven staining in pathological pictures and difficulty of discriminating benign from malignant cells. CycleGAN is used for color normalization in pathological pictures to tac...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334078/ https://www.ncbi.nlm.nih.gov/pubmed/35909482 http://dx.doi.org/10.1155/2022/6336700 |