Transductive cost-sensitive lung cancer image classification

Computer Science

• Image Classification 100%
• Learning Approach 50%
• Individual Cell 50%
• Experimental Result 25%
• Least Squares Method 25%
• Feature Extraction 25%
• Support Vector Machine 25%
• Training Sample 25%
• Classification Method 25%
• Extracted Feature 25%
• Captured Image 25%
• Training Image 25%
• Supervised Learning 25%
• k-means Clustering 25%
• Shape Information 25%
• Texture Information 25%
• Semisupervised Learning 25%
• Laplace Operator 25%
• Color Information 25%
• Image Capture 25%
• Statistical Information 25%

Engineering

• Image Classification 100%
• Learning Approach 50%
• Individual Cell 50%
• Code Book 50%
• Experimental Result 25%
• Histogram 25%
• Feature Extraction 25%
• Least Square 25%
• Adaboost 25%
• Extracted Feature 25%
• Captured Image 25%
• Classification Method 25%
• Real Image 25%
• Laplace Operator 25%
• Image Capturing 25%

Keyphrases

• Cancer Image Classification 100%
• Core Needle Biopsy 50%
• Nuclear Atypia 25%
• CS-SVM 25%
• Sensitive Settings 25%
• Laplacian Regularized Least Squares 25%
• Cost-sensitive Methods 25%
• Cost-sensitive Approach 25%
• Squamous Carcinoma 25%
• Codebook Learning 25%
• LapRLS 25%