An agglomerative segmentation framework for non-convex regions within uterine cervix images

Keyphrases

• Uterine Cervix Image 100%
• Agglomerative Clustering 100%
• Non-convex Region 100%
• Agglomerative 100%
• Cervigram 100%
• Superpixel 100%
• Segmentation Framework 100%
• Clustering Framework 66%
• Graph Cuts 66%
• Normalized Mean 66%
• Nonconvex 33%
• Minimal number 33%
• Similarity Measure 33%
• Medical Experts 33%
• Cervix 33%
• Convex Shape 33%
• Similar Regions 33%
• Large Database 33%
• Scaling Process 33%
• Screening Research 33%
• National Cancer Institute 33%
• Cervical Cancer Screening 33%
• Unsupervised Method 33%
• Clustering Results 33%
• Coherent Region 33%
• Segmentation Accuracy 33%
• Spectral Clustering Algorithm 33%
• Number of Parameters 33%
• Region Information 33%
• Clustering Process 33%
• Edge Information 33%
• Local Scaling 33%
• Segmentation Quality 33%
• Framework Transition 33%
• Merging Process 33%
• Color Features 33%

Computer Science

• Superpixel 100%
• Agglomerative Clustering 100%
• Graph Cut 66%
• Clustering Algorithm 33%
• Edge Information 33%
• segmentation accuracy 33%
• Clustering Result 33%
• Unsupervised Manner 33%
• Spectral Clustering 33%
• clustering process 33%
• Merging Procedure 33%
• color feature 33%

Engineering

• Similarities 100%
• Graph Cut 100%
• Minimal Number 50%
• Segmentation Quality 50%
• Local Scaling 50%
• Clustering Algorithm 50%
• Edge Information 50%
• Scaling Process 50%