Unsupervised superpixel-based segmentation of histopathological images with consensus clustering

Keyphrases

• Superpixel 100%
• Superpixel Segmentation 100%
• Base Clustering 100%
• Consensus Clustering 100%
• Histopathological Images 100%
• Clustering Methods 66%
• Oropharyngeal Squamous Cell Carcinoma (OPSCC) 66%
• Voting-based Consensus 66%
• Consensus Function 66%
• Evidence Accumulation Clustering 66%
• Image Processing 33%
• Tissue Type 33%
• Clustering Algorithm 33%
• Cancer Tissue 33%
• Clustering Approach 33%
• Labeling Method 33%
• Segmentation Approach 33%
• Epithelium 33%
• Robust Detection 33%
• Cluster Performance 33%
• Tissue Microarray 33%
• Annotated Images 33%
• Color Features 33%
• Labeling Scheme 33%
• Tissue Segmentation 33%
• Consistent Labeling 33%
• Split up 33%
• Tissue Compartments 33%
• Parameter Initialization 33%
• Voting Methods 33%
• Delabeling 33%
• Cancer Image 33%
• Robust Consensus 33%
• Ensemble Algorithm 33%
• Simple Linear Iterative Clustering 33%

Computer Science

• Superpixel 100%
• Histopathological Image 100%
• Clustering Method 50%
• Clustering Algorithm 50%
• Consensus Function 50%
• Image Segmentation 25%
• Image Processing 25%
• Segmentation Approach 25%
• clustering approach 25%
• color feature 25%
• Labeling Scheme 25%