Automatic nucleus detection of pap smear images using stacked sparse autoencoder (SSAE)

Keyphrases

• Pap Smear 100%
• Nuclei Detection 100%
• Stacked Autoencoder 100%
• Softmax Classifier 60%
• Overlapping Cells 40%
• Multi-cell 40%
• High-level Features 40%
• Early Diagnosis 20%
• Cervical Cancer 20%
• Further Analysis 20%
• Classification Process 20%
• Detection Method 20%
• Morphological Analysis 20%
• Cell Image 20%
• Feature Representation 20%
• Nuclei Classification 20%
• Sliding Window Operation 20%
• Deep Learning Methods 20%
• Feature pixel 20%
• Main Criteria 20%
• Cell Changes 20%
• Pap Smear Image Analysis 20%
• Window Size 20%
• Low-level Features 20%

Computer Science

• Sparse Autoencoder 100%
• Classification Process 20%
• Image Analysis 20%
• Sliding Window 20%
• Differentiator 20%
• Detection Process 20%
• Learning Approach 20%
• Deep Learning Method 20%