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Five-Class Classification of Cervical Pap Smear Images: A Study of CNN-Error-Correcting SVM Models

Huong AKC, Tay KG, Ngu XTI

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...
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