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Five-Class Classification of Cervical Pap Smear Images: A Study of CNN-Error-Correcting SVM Models
OBJECTIVES: Different complex strategies of fusing handcrafted descriptors and features from convolutional neural network (CNN) models have been studied, mainly for two-class Papanicolaou (Pap) smear image classification. This paper explores a simplified system using combined binary coding for a fiv...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society of Medical Informatics
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654336/ https://www.ncbi.nlm.nih.gov/pubmed/34788910 http://dx.doi.org/10.4258/hir.2021.27.4.298 |