In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.
machine-learning deep-learning elm-architecture ae cnn-architecture cnn-classification shallow-neural-network caffenet vgg16-model
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Updated
Jun 8, 2024 - Python